model.embed_tokens.weight_quantizer TensorQuantizer(disabled) model.embed_tokens.input_quantizer HardDisabledTensorQuantizer(disabled) model.embed_tokens.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.0.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.84e-01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.38e+00 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.64e+00 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.60e+01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.94e-01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.60e+01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.53e-01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.60e+01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.38e-01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.60e+01 calibrator=MaxCalibrator quant) model.layers.0.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.0.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.38e-02 calibrator=MaxCalibrator quant) model.layers.0.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.05e+01 calibrator=MaxCalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0166](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0238](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0188](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0156](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0184](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0498](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1045](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0195](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.34e+01 calibrator=MaxCalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0236](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0259](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0203](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0259](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0835](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0253](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0248](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.0.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.0.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.1.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.68e-01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.59e+00 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.74e+00 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.22e-01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.11e-01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.82e-01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.1.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.1.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e-01 calibrator=MaxCalibrator quant) model.layers.1.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.32e+01 calibrator=MaxCalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0171](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0210](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0164](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0153](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0235](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0430](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.32e+01 calibrator=MaxCalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0269](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0278](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0265](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0226](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0515](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1172](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.1.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.1.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.2.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.20e-01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.67e+00 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.28e+00 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.40e+01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.22e-01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.40e+01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.93e-01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.40e+01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.73e-01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.40e+01 calibrator=MaxCalibrator quant) model.layers.2.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.2.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.95e-01 calibrator=MaxCalibrator quant) model.layers.2.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.01e+01 calibrator=MaxCalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0284](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0281](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0378](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0275](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0286](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0212](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.92e+01 calibrator=MaxCalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0347](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.2.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.2.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.3.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.81e+01 calibrator=MaxCalibrator quant) model.layers.3.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.93e-01 calibrator=MaxCalibrator quant) model.layers.3.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.81e+01 calibrator=MaxCalibrator quant) model.layers.3.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.06e-01 calibrator=MaxCalibrator quant) model.layers.3.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.81e+01 calibrator=MaxCalibrator quant) model.layers.3.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.33e-01 calibrator=MaxCalibrator quant) model.layers.3.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.16e+00 calibrator=MaxCalibrator quant) model.layers.3.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.20e+00 calibrator=MaxCalibrator quant) model.layers.3.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.3.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.3.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.3.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.3.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.88e+00 calibrator=MaxCalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0464](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0000](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0261](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.95e+01 calibrator=MaxCalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0591](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0654](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0476](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1982](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0000](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.3.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.3.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.4.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.32e-01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.02e+00 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.21e+00 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.32e+01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.44e-01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.32e+01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.93e-01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.32e+01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.16e-01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.32e+01 calibrator=MaxCalibrator quant) model.layers.4.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.4.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e-01 calibrator=MaxCalibrator quant) model.layers.4.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.19e+00 calibrator=MaxCalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0262](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0305](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0270](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0251](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.20e+01 calibrator=MaxCalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0006, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1035](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.4.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.4.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.5.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.93e-01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.77e+00 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.12e+00 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.35e-01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.30e-01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.33e-01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+01 calibrator=MaxCalibrator quant) model.layers.5.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.5.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.31e-01 calibrator=MaxCalibrator quant) model.layers.5.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.12e+00 calibrator=MaxCalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0288](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0354](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0278](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0405](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.88e+01 calibrator=MaxCalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0002, 0.0430](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0439](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.5.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.5.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.6.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.50e-01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.33e+00 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e+00 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.68e+01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.33e-01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.68e+01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.12e-01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.68e+01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.60e-01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.68e+01 calibrator=MaxCalibrator quant) model.layers.6.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.6.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.39e-01 calibrator=MaxCalibrator quant) model.layers.6.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.18e+01 calibrator=MaxCalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0253](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.65e+01 calibrator=MaxCalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0012, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.6.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.6.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.7.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.08e+02 calibrator=MaxCalibrator quant) model.layers.7.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.08e-01 calibrator=MaxCalibrator quant) model.layers.7.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.08e+02 calibrator=MaxCalibrator quant) model.layers.7.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e-01 calibrator=MaxCalibrator quant) model.layers.7.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.08e+02 calibrator=MaxCalibrator quant) model.layers.7.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.68e-01 calibrator=MaxCalibrator quant) model.layers.7.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.75e+00 calibrator=MaxCalibrator quant) model.layers.7.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.06e+00 calibrator=MaxCalibrator quant) model.layers.7.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.7.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.7.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.7.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.7.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.05e+01 calibrator=MaxCalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0289](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.62e+01 calibrator=MaxCalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0447](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0432](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0464](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0012, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0403](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.7.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.7.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.8.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.48e-01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.56e+00 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e+01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.17e-01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e+01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.15e-01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e+01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.30e-01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e+01 calibrator=MaxCalibrator quant) model.layers.8.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.8.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e-01 calibrator=MaxCalibrator quant) model.layers.8.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.56e+00 calibrator=MaxCalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0280](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0432](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0439](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.8.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.8.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.9.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e-01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.41e+00 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e+00 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.41e+01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.70e-01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.41e+01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.79e-01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.41e+01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e-01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.41e+01 calibrator=MaxCalibrator quant) model.layers.9.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.9.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e-01 calibrator=MaxCalibrator quant) model.layers.9.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.50e+00 calibrator=MaxCalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.75e+01 calibrator=MaxCalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0439](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0471](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.9.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.9.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.10.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.75e-01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.67e+00 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.24e+01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.52e-01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.24e+01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.40e-01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.24e+01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e-01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.24e+01 calibrator=MaxCalibrator quant) model.layers.10.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.10.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.31e-01 calibrator=MaxCalibrator quant) model.layers.10.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.11e+01 calibrator=MaxCalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.22e+01 calibrator=MaxCalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0417](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0422](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.10.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.10.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.11.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.90e+01 calibrator=MaxCalibrator quant) model.layers.11.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.81e-01 calibrator=MaxCalibrator quant) model.layers.11.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.90e+01 calibrator=MaxCalibrator quant) model.layers.11.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.64e-01 calibrator=MaxCalibrator quant) model.layers.11.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.90e+01 calibrator=MaxCalibrator quant) model.layers.11.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e-01 calibrator=MaxCalibrator quant) model.layers.11.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.56e+00 calibrator=MaxCalibrator quant) model.layers.11.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+00 calibrator=MaxCalibrator quant) model.layers.11.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.11.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.11.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.11.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.11.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.69e+00 calibrator=MaxCalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0286](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0474](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0294](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.50e+01 calibrator=MaxCalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0513](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0417](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0430](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0019, 0.0430](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.11.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.11.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.12.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.75e-01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.44e+00 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.48e+00 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.69e-01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.68e-01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e-01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.12.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.12.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.26e-01 calibrator=MaxCalibrator quant) model.layers.12.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.00e+01 calibrator=MaxCalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0356](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0300](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0378](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0381](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0337](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.12.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.12.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.13.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.08e-01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.66e+00 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+00 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e+01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.38e-01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e+01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.68e-01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e+01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.40e-01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e+01 calibrator=MaxCalibrator quant) model.layers.13.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.13.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e-01 calibrator=MaxCalibrator quant) model.layers.13.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.88e+00 calibrator=MaxCalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0288](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0271](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0270](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0310](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.30e+01 calibrator=MaxCalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0381](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0010, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0457](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.13.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.13.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.14.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e-01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.06e+00 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.37e+00 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.82e+01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.91e-01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.82e+01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.68e-01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.82e+01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e-01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.82e+01 calibrator=MaxCalibrator quant) model.layers.14.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.14.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.75e-01 calibrator=MaxCalibrator quant) model.layers.14.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.81e+00 calibrator=MaxCalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0354](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.22e+01 calibrator=MaxCalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0493](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0005, 0.0505](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0010, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.14.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.14.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.15.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+02 calibrator=MaxCalibrator quant) model.layers.15.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e-01 calibrator=MaxCalibrator quant) model.layers.15.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+02 calibrator=MaxCalibrator quant) model.layers.15.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.22e-01 calibrator=MaxCalibrator quant) model.layers.15.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+02 calibrator=MaxCalibrator quant) model.layers.15.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.06e-01 calibrator=MaxCalibrator quant) model.layers.15.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.91e+00 calibrator=MaxCalibrator quant) model.layers.15.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e+00 calibrator=MaxCalibrator quant) model.layers.15.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.15.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.15.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.15.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.15.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.01e+01 calibrator=MaxCalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0294](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0303](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0466](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.60e+01 calibrator=MaxCalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0013, 0.1318](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.15.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.15.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.16.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.71e-01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.44e+00 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.52e+00 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.24e-01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.59e-01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.38e-01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.16.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.16.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e-01 calibrator=MaxCalibrator quant) model.layers.16.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.09e+01 calibrator=MaxCalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0295](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.75e+01 calibrator=MaxCalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0014, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.16.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.16.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.17.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.30e-01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.47e+00 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e+00 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.06e+01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.80e-01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.06e+01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.04e-01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.06e+01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.06e+01 calibrator=MaxCalibrator quant) model.layers.17.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.17.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.87e-01 calibrator=MaxCalibrator quant) model.layers.17.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.04e+01 calibrator=MaxCalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0297](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0620](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.75e+01 calibrator=MaxCalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0476](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0479](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0010, 0.2002](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.17.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.17.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.18.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.63e-01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.75e+00 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e+00 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.86e+01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.89e-01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.86e+01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.62e-01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.86e+01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e-01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.86e+01 calibrator=MaxCalibrator quant) model.layers.18.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.18.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.39e-01 calibrator=MaxCalibrator quant) model.layers.18.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.04e+01 calibrator=MaxCalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0273](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.45e+01 calibrator=MaxCalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0347](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1533](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0007, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0012, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.18.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.18.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.19.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+02 calibrator=MaxCalibrator quant) model.layers.19.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.60e-01 calibrator=MaxCalibrator quant) model.layers.19.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+02 calibrator=MaxCalibrator quant) model.layers.19.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e-01 calibrator=MaxCalibrator quant) model.layers.19.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e+02 calibrator=MaxCalibrator quant) model.layers.19.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.91e-02 calibrator=MaxCalibrator quant) model.layers.19.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.66e+00 calibrator=MaxCalibrator quant) model.layers.19.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.30e+00 calibrator=MaxCalibrator quant) model.layers.19.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.19.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.19.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.19.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.19.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.08e+01 calibrator=MaxCalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0298](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0457](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0654](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.19.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.19.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.20.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.63e-01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.61e+00 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e+00 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.62e+01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.00e-01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.62e+01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.73e-01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.62e+01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.38e-01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.62e+01 calibrator=MaxCalibrator quant) model.layers.20.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.20.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e-01 calibrator=MaxCalibrator quant) model.layers.20.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.16e+01 calibrator=MaxCalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0591](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0289](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.05e+01 calibrator=MaxCalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0413](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0014, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0002, 0.0439](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0469](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.20.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.20.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.21.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.57e-01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.36e+00 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e+00 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.05e+01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.96e-01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.05e+01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.35e-01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.05e+01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.35e-01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.05e+01 calibrator=MaxCalibrator quant) model.layers.21.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.21.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.21.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.19e+01 calibrator=MaxCalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0293](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.42e+01 calibrator=MaxCalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0457](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0310](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.21.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.21.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.22.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.69e-01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.80e+00 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e+00 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.90e+01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.17e-01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.90e+01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.38e-01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.90e+01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.38e-01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.90e+01 calibrator=MaxCalibrator quant) model.layers.22.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.22.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.66e-01 calibrator=MaxCalibrator quant) model.layers.22.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.32e+01 calibrator=MaxCalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0347](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0287](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0408](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0349](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0596](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1079](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0623](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.22.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.22.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.23.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.06e+02 calibrator=MaxCalibrator quant) model.layers.23.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.66e-01 calibrator=MaxCalibrator quant) model.layers.23.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.06e+02 calibrator=MaxCalibrator quant) model.layers.23.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.62e-01 calibrator=MaxCalibrator quant) model.layers.23.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.06e+02 calibrator=MaxCalibrator quant) model.layers.23.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.37e-01 calibrator=MaxCalibrator quant) model.layers.23.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.91e+00 calibrator=MaxCalibrator quant) model.layers.23.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.16e+00 calibrator=MaxCalibrator quant) model.layers.23.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.23.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.23.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.23.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.23.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.42e+01 calibrator=MaxCalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0503](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0310](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.70e+01 calibrator=MaxCalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0002, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.1621](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0481](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.23.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.23.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.24.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.27e-01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.83e+00 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.49e+00 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.10e+01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.46e-01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.10e+01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.93e-01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.10e+01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e-01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.10e+01 calibrator=MaxCalibrator quant) model.layers.24.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.24.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.54e-01 calibrator=MaxCalibrator quant) model.layers.24.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.50e+01 calibrator=MaxCalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0349](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0271](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0005, 0.0461](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0461](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.24.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.24.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.25.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.69e-01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.33e+00 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e+00 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.65e+01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.07e-01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.65e+01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e-01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.65e+01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.33e-01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.65e+01 calibrator=MaxCalibrator quant) model.layers.25.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.25.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e-01 calibrator=MaxCalibrator quant) model.layers.25.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.45e+01 calibrator=MaxCalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0303](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0298](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.68e+01 calibrator=MaxCalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0513](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0435](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.25.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.25.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.26.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.67e-01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.66e+00 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.64e+00 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.85e+01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.09e-01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.85e+01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.39e-01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.85e+01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e-01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.85e+01 calibrator=MaxCalibrator quant) model.layers.26.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.26.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e-01 calibrator=MaxCalibrator quant) model.layers.26.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.40e+01 calibrator=MaxCalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0308](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0378](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0417](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0430](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.26.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.26.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.27.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.36e+02 calibrator=MaxCalibrator quant) model.layers.27.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.19e-01 calibrator=MaxCalibrator quant) model.layers.27.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.36e+02 calibrator=MaxCalibrator quant) model.layers.27.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.61e-01 calibrator=MaxCalibrator quant) model.layers.27.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.36e+02 calibrator=MaxCalibrator quant) model.layers.27.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.35e-01 calibrator=MaxCalibrator quant) model.layers.27.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.25e+00 calibrator=MaxCalibrator quant) model.layers.27.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.27.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.27.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.27.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.27.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.27.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.48e+01 calibrator=MaxCalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0305](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0286](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0430](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.55e+01 calibrator=MaxCalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0491](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0471](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.27.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.27.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.28.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.16e-01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.62e+00 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.52e+00 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.72e+01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.86e-01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.72e+01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e-01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.72e+01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e-01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.72e+01 calibrator=MaxCalibrator quant) model.layers.28.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.28.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.58e-01 calibrator=MaxCalibrator quant) model.layers.28.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.46e+01 calibrator=MaxCalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0007, 0.0374](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0356](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0559](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.20e+01 calibrator=MaxCalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.28.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.28.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.29.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e-01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.99e+01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.55e+00 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.55e+01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.79e-01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.55e+01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.55e-01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.55e+01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.49e-01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.55e+01 calibrator=MaxCalibrator quant) model.layers.29.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.29.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.75e-01 calibrator=MaxCalibrator quant) model.layers.29.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.50e+01 calibrator=MaxCalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0454](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0417](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0286](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0613](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0283](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.62e+01 calibrator=MaxCalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0659](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0459](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0014, 0.0322](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0483](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0315](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.29.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.29.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.30.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e-01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e+01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e+00 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.88e+01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.46e-01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.88e+01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.89e-01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.88e+01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.48e-01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.88e+01 calibrator=MaxCalibrator quant) model.layers.30.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.30.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.57e-01 calibrator=MaxCalibrator quant) model.layers.30.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.19e+01 calibrator=MaxCalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0396](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0420](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0457](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0293](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.40e+01 calibrator=MaxCalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0469](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0432](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.30.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.30.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.31.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e+02 calibrator=MaxCalibrator quant) model.layers.31.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.67e-01 calibrator=MaxCalibrator quant) model.layers.31.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e+02 calibrator=MaxCalibrator quant) model.layers.31.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.20e-01 calibrator=MaxCalibrator quant) model.layers.31.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e+02 calibrator=MaxCalibrator quant) model.layers.31.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.87e-01 calibrator=MaxCalibrator quant) model.layers.31.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.94e+00 calibrator=MaxCalibrator quant) model.layers.31.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.31.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.31.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.31.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.31.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.31.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0432](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0347](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0408](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0354](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.98e+01 calibrator=MaxCalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0435](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.31.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.31.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.32.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.49e-01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.62e+00 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e+00 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.65e+01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.59e-01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.65e+01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.30e-01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.65e+01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.55e-01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.65e+01 calibrator=MaxCalibrator quant) model.layers.32.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.32.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.36e-01 calibrator=MaxCalibrator quant) model.layers.32.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.18e+01 calibrator=MaxCalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0427](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0508](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0347](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0430](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.10e+01 calibrator=MaxCalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0503](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0403](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0510](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0006, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.32.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.32.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.33.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.67e-01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.16e+00 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e+00 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.50e+01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.00e-01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.50e+01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.85e-01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.50e+01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.49e-01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.50e+01 calibrator=MaxCalibrator quant) model.layers.33.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.33.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.30e-01 calibrator=MaxCalibrator quant) model.layers.33.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.10e+01 calibrator=MaxCalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0430](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0303](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.40e+01 calibrator=MaxCalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0011, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0569](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.33.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.33.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.34.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.77e-01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.34e+00 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.52e+00 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.70e+01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.04e-01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.70e+01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.89e-01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.70e+01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.24e-01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.70e+01 calibrator=MaxCalibrator quant) model.layers.34.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.34.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e-01 calibrator=MaxCalibrator quant) model.layers.34.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e+01 calibrator=MaxCalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0286](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0376](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0356](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.15e+01 calibrator=MaxCalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0403](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0325](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0559](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0654](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0664](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.34.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.34.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.35.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.11e+02 calibrator=MaxCalibrator quant) model.layers.35.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.67e-01 calibrator=MaxCalibrator quant) model.layers.35.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.11e+02 calibrator=MaxCalibrator quant) model.layers.35.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.08e-01 calibrator=MaxCalibrator quant) model.layers.35.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.11e+02 calibrator=MaxCalibrator quant) model.layers.35.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.35e-01 calibrator=MaxCalibrator quant) model.layers.35.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.89e+00 calibrator=MaxCalibrator quant) model.layers.35.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.38e+00 calibrator=MaxCalibrator quant) model.layers.35.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.35.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.35.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.35.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.35.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.85e+01 calibrator=MaxCalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0376](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0291](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0405](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.48e+01 calibrator=MaxCalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0439](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.35.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.35.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.36.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.28e-01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.98e+00 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.10e-01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.24e-01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.81e-01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.36.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.36.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.95e-01 calibrator=MaxCalibrator quant) model.layers.36.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.12e+01 calibrator=MaxCalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0576](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0427](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.08e+01 calibrator=MaxCalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0649](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.36.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.36.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.37.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.59e-01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.84e+00 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.38e+00 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e+01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.90e-01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e+01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.86e-01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e+01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e-01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e+01 calibrator=MaxCalibrator quant) model.layers.37.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.37.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e-01 calibrator=MaxCalibrator quant) model.layers.37.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0437](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0435](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0417](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0388](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.95e+01 calibrator=MaxCalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0317](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0457](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0017, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.37.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.37.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.38.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.61e-01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.90e+00 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+00 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.34e-01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.97e-01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.31e-01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.38.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.38.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e-01 calibrator=MaxCalibrator quant) model.layers.38.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.08e+01 calibrator=MaxCalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0403](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0403](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0405](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0405](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.70e+01 calibrator=MaxCalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0840](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0413](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.38.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.38.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.39.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.85e+01 calibrator=MaxCalibrator quant) model.layers.39.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.32e-01 calibrator=MaxCalibrator quant) model.layers.39.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.85e+01 calibrator=MaxCalibrator quant) model.layers.39.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.96e-01 calibrator=MaxCalibrator quant) model.layers.39.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.85e+01 calibrator=MaxCalibrator quant) model.layers.39.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.22e-01 calibrator=MaxCalibrator quant) model.layers.39.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+00 calibrator=MaxCalibrator quant) model.layers.39.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.39.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.39.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.39.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.39.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.39.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.78e+01 calibrator=MaxCalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0510](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0269](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.98e+01 calibrator=MaxCalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0317](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0374](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0295](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.39.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.39.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.40.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.20e-01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.19e+00 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e+00 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.65e-01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.07e-01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.34e-01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.40.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.40.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.40.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.22e+01 calibrator=MaxCalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0540](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0281](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0420](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0486](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.38e+01 calibrator=MaxCalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0435](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0483](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0510](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0430](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0542](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.40.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.40.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.41.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.94e-01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.97e+00 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e+00 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.88e+01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.67e-01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.88e+01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.01e-01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.88e+01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e-01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.88e+01 calibrator=MaxCalibrator quant) model.layers.41.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.41.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.51e-01 calibrator=MaxCalibrator quant) model.layers.41.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0620](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0311](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0464](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.78e+01 calibrator=MaxCalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0540](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0405](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0483](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0454](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0630](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.41.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.41.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.42.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.08e-01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.52e+00 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+00 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.52e-01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.36e-01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.49e-01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.42.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.42.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.78e-01 calibrator=MaxCalibrator quant) model.layers.42.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.10e+01 calibrator=MaxCalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0496](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0347](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0574](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.70e+01 calibrator=MaxCalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0002, 0.0486](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0713](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0447](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0593](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.42.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.42.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.43.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.50e+01 calibrator=MaxCalibrator quant) model.layers.43.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.89e-01 calibrator=MaxCalibrator quant) model.layers.43.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.50e+01 calibrator=MaxCalibrator quant) model.layers.43.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.82e-01 calibrator=MaxCalibrator quant) model.layers.43.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.50e+01 calibrator=MaxCalibrator quant) model.layers.43.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.21e-01 calibrator=MaxCalibrator quant) model.layers.43.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.94e+00 calibrator=MaxCalibrator quant) model.layers.43.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+00 calibrator=MaxCalibrator quant) model.layers.43.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.43.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.43.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.43.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.43.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.80e+01 calibrator=MaxCalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0791](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0425](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0591](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0400](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0410](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0957](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.70e+01 calibrator=MaxCalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0801](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0444](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0444](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.6211](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.43.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.43.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.44.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.54e-01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.44e+00 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.63e+00 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.79e-01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.79e-01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e-01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.44.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.44.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.73e-01 calibrator=MaxCalibrator quant) model.layers.44.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.68e+01 calibrator=MaxCalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0298](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0302](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0300](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0302](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0292](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0354](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0284](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.05e+01 calibrator=MaxCalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0337](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0014, 0.0294](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0312](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0289](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0322](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0339](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0287](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0403](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.44.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.44.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.45.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e-01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.41e+00 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.33e+00 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.20e+01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.43e-01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.20e+01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.27e-01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.20e+01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e-01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.20e+01 calibrator=MaxCalibrator quant) model.layers.45.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.45.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.21e-01 calibrator=MaxCalibrator quant) model.layers.45.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.68e+01 calibrator=MaxCalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0266](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.75e+01 calibrator=MaxCalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0588](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.45.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.45.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.46.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.20e-01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.91e+00 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e+00 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.56e-01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.47e-01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.43e-01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.46.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.46.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.98e-01 calibrator=MaxCalibrator quant) model.layers.46.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e+01 calibrator=MaxCalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0308](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0376](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0294](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.80e+01 calibrator=MaxCalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0337](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0304](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0352](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0004, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0012, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.46.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.46.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.47.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.25e+02 calibrator=MaxCalibrator quant) model.layers.47.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.48e-01 calibrator=MaxCalibrator quant) model.layers.47.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.25e+02 calibrator=MaxCalibrator quant) model.layers.47.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.14e-01 calibrator=MaxCalibrator quant) model.layers.47.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.25e+02 calibrator=MaxCalibrator quant) model.layers.47.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.25e-01 calibrator=MaxCalibrator quant) model.layers.47.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.75e+00 calibrator=MaxCalibrator quant) model.layers.47.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e+00 calibrator=MaxCalibrator quant) model.layers.47.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.47.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.47.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.47.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.47.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.42e+01 calibrator=MaxCalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0295](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0281](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0282](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0282](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.92e+01 calibrator=MaxCalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0306](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0017, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0574](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0403](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.47.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.47.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.48.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.24e-01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.97e+00 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.34e+00 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.30e+01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.12e-01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.30e+01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.77e-01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.30e+01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e-01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.30e+01 calibrator=MaxCalibrator quant) model.layers.48.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.48.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.34e-01 calibrator=MaxCalibrator quant) model.layers.48.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.35e+01 calibrator=MaxCalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0354](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0283](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.58e+01 calibrator=MaxCalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0311](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0012, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0317](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.48.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.48.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.49.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.65e-01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.53e+00 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e+00 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e+01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.04e-01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e+01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.85e-01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e+01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.57e-01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e+01 calibrator=MaxCalibrator quant) model.layers.49.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.49.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.63e-01 calibrator=MaxCalibrator quant) model.layers.49.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0289](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0298](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.85e+01 calibrator=MaxCalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0308](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0317](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0347](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0012, 0.0552](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.49.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.49.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.50.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.71e-01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.28e+00 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e+00 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.02e+01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e-01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.02e+01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.45e-01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.02e+01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.27e-01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.02e+01 calibrator=MaxCalibrator quant) model.layers.50.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.50.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.67e-01 calibrator=MaxCalibrator quant) model.layers.50.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.38e+01 calibrator=MaxCalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0417](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0284](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0356](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.02e+01 calibrator=MaxCalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0371](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1157](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0006, 0.0308](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0016, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.50.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.50.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.51.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.20e+02 calibrator=MaxCalibrator quant) model.layers.51.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.70e-01 calibrator=MaxCalibrator quant) model.layers.51.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.20e+02 calibrator=MaxCalibrator quant) model.layers.51.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.51.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.20e+02 calibrator=MaxCalibrator quant) model.layers.51.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.04e-01 calibrator=MaxCalibrator quant) model.layers.51.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.81e+00 calibrator=MaxCalibrator quant) model.layers.51.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.31e+00 calibrator=MaxCalibrator quant) model.layers.51.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.51.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.51.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.51.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.51.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.38e+01 calibrator=MaxCalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0315](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0469](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.82e+01 calibrator=MaxCalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0283](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0303](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0322](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0299](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0486](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.51.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.51.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.52.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.71e-01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.59e+00 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e+00 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.78e+01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.67e-01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.78e+01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.58e-01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.78e+01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.43e-01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.78e+01 calibrator=MaxCalibrator quant) model.layers.52.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.52.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.52.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.28e+01 calibrator=MaxCalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0327](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0481](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.55e+01 calibrator=MaxCalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.0339](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0347](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0011, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0422](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.52.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.52.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.53.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.47e-01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.91e+00 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e+00 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.04e-01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.29e-01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.24e-01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.40e+01 calibrator=MaxCalibrator quant) model.layers.53.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.53.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.53.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.25e+01 calibrator=MaxCalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0302](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0356](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0354](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0297](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0267](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.65e+01 calibrator=MaxCalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0327](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0354](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0330](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0417](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0349](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0019, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0019, 0.0303](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.53.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.53.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.54.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.77e-01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.88e+00 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+00 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.20e+01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e-01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.20e+01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.40e-01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.20e+01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.48e-01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.20e+01 calibrator=MaxCalibrator quant) model.layers.54.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.54.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.37e-01 calibrator=MaxCalibrator quant) model.layers.54.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.28e+01 calibrator=MaxCalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.00e+01 calibrator=MaxCalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0381](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0461](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0339](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0422](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1104](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.54.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.54.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.55.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.19e+02 calibrator=MaxCalibrator quant) model.layers.55.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.64e-01 calibrator=MaxCalibrator quant) model.layers.55.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.19e+02 calibrator=MaxCalibrator quant) model.layers.55.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.05e-01 calibrator=MaxCalibrator quant) model.layers.55.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.19e+02 calibrator=MaxCalibrator quant) model.layers.55.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.75e-01 calibrator=MaxCalibrator quant) model.layers.55.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.31e+00 calibrator=MaxCalibrator quant) model.layers.55.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.17e+00 calibrator=MaxCalibrator quant) model.layers.55.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.55.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.55.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.55.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.55.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0267](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0378](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0723](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0322](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0278](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.28e+01 calibrator=MaxCalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0449](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0806](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0315](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.55.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.55.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.56.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.39e-01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.81e+00 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+00 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.88e+01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.09e-01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.88e+01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.88e-01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.88e+01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.37e-01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.88e+01 calibrator=MaxCalibrator quant) model.layers.56.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.56.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.15e-01 calibrator=MaxCalibrator quant) model.layers.56.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e+01 calibrator=MaxCalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0305](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0302](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0310](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.47e+02 calibrator=MaxCalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0311](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0366](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0417](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0006, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0005, 0.0322](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0010, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0339](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.56.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.56.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.57.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.91e-01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.88e+00 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e+00 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.81e-01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.02e-01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.32e-01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.57.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.57.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.52e-01 calibrator=MaxCalibrator quant) model.layers.57.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.19e+01 calibrator=MaxCalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0312](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0415](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0317](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0464](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0022, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.15e+01 calibrator=MaxCalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.0449](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0503](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0447](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0046, 0.0471](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0320](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.57.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.57.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.58.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.91e-01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.41e+00 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e+00 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.18e+01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.36e-01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.18e+01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.05e-01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.18e+01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.02e-01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.18e+01 calibrator=MaxCalibrator quant) model.layers.58.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.58.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.29e-01 calibrator=MaxCalibrator quant) model.layers.58.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.22e+01 calibrator=MaxCalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0305](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0361](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0420](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.80e+01 calibrator=MaxCalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0422](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0315](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0393](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.58.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.58.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.59.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+02 calibrator=MaxCalibrator quant) model.layers.59.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.37e-01 calibrator=MaxCalibrator quant) model.layers.59.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+02 calibrator=MaxCalibrator quant) model.layers.59.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.55e-01 calibrator=MaxCalibrator quant) model.layers.59.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.47e+02 calibrator=MaxCalibrator quant) model.layers.59.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.37e-01 calibrator=MaxCalibrator quant) model.layers.59.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.22e+00 calibrator=MaxCalibrator quant) model.layers.59.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.44e+00 calibrator=MaxCalibrator quant) model.layers.59.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.59.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.59.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.59.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.59.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.15e+01 calibrator=MaxCalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0304](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0325](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0483](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.70e+01 calibrator=MaxCalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0398](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.59.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.59.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.60.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.26e-01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.91e+00 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e+00 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.92e+01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.73e-01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.92e+01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.49e-01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.92e+01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.48e-01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.92e+01 calibrator=MaxCalibrator quant) model.layers.60.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.60.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.43e-01 calibrator=MaxCalibrator quant) model.layers.60.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e+01 calibrator=MaxCalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0376](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0371](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0503](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.35e+01 calibrator=MaxCalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0369](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0403](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0498](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0014, 0.0454](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0493](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.60.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.60.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.61.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.84e-01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.38e+00 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.52e+00 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.65e+01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.57e-01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.65e+01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.61e-01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.65e+01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.30e-01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.65e+01 calibrator=MaxCalibrator quant) model.layers.61.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.61.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e-01 calibrator=MaxCalibrator quant) model.layers.61.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e+01 calibrator=MaxCalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0410](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0635](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0417](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0391](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0288](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0593](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.60e+01 calibrator=MaxCalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0508](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1040](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0476](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.0289](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0640](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0337](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.61.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.61.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.62.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.62e-01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.19e+00 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e+00 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.85e+01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.99e-01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.85e+01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.30e-01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.85e+01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.22e-01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.85e+01 calibrator=MaxCalibrator quant) model.layers.62.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.62.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.58e-01 calibrator=MaxCalibrator quant) model.layers.62.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e+01 calibrator=MaxCalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0408](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0474](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0474](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0554](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.18e+02 calibrator=MaxCalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0527](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0422](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0342](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0444](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0991](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.62.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.62.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.63.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.09e+02 calibrator=MaxCalibrator quant) model.layers.63.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.89e-01 calibrator=MaxCalibrator quant) model.layers.63.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.09e+02 calibrator=MaxCalibrator quant) model.layers.63.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.79e-01 calibrator=MaxCalibrator quant) model.layers.63.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.09e+02 calibrator=MaxCalibrator quant) model.layers.63.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.05e-01 calibrator=MaxCalibrator quant) model.layers.63.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.84e+00 calibrator=MaxCalibrator quant) model.layers.63.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.40e+00 calibrator=MaxCalibrator quant) model.layers.63.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.63.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.63.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.63.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.63.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.02e+01 calibrator=MaxCalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0498](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0427](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0571](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0420](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0376](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.52e+02 calibrator=MaxCalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0505](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0457](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0361](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.63.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.63.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.64.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.55e-01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.72e+00 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.44e+00 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.16e-01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.38e-01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.55e-01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.64.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.64.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.64.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0554](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0344](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0469](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0427](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0513](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.10e+01 calibrator=MaxCalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.0527](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0618](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0439](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0630](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0444](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0457](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0723](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.64.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.64.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.65.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.90e-01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.69e+00 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e+00 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.36e-01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.97e-01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.00e-01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e+01 calibrator=MaxCalibrator quant) model.layers.65.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.65.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.25e-01 calibrator=MaxCalibrator quant) model.layers.65.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.62e+01 calibrator=MaxCalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0554](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0466](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0703](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0339](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.40e+01 calibrator=MaxCalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0013, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0408](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0588](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.0481](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0018, 0.0574](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0474](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0410](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.65.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.65.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.66.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.70e-01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.67e+00 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.70e+00 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.05e+01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.02e-01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.05e+01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.20e-01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.05e+01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.22e-01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.05e+01 calibrator=MaxCalibrator quant) model.layers.66.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.66.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.71e-01 calibrator=MaxCalibrator quant) model.layers.66.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0527](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0359](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0510](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0320](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0447](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.85e+01 calibrator=MaxCalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0537](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0608](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0454](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0027, 0.0496](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0767](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0017, 0.0698](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0025, 0.0864](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0525](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.66.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.66.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.67.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.67.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.39e-01 calibrator=MaxCalibrator quant) model.layers.67.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.67.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.87e-01 calibrator=MaxCalibrator quant) model.layers.67.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.67.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.44e-01 calibrator=MaxCalibrator quant) model.layers.67.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.19e+00 calibrator=MaxCalibrator quant) model.layers.67.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.53e+00 calibrator=MaxCalibrator quant) model.layers.67.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.67.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.67.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.67.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.67.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.72e+01 calibrator=MaxCalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0488](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0356](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0432](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0535](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0364](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0610](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0444](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.14e+02 calibrator=MaxCalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0046, 0.0569](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0378](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0483](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0459](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0493](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0344](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.0522](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0017, 0.0469](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.67.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.67.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.68.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e-01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.47e+00 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.48e+00 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.83e-01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.85e-01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.36e-01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.68.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.68.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.79e-01 calibrator=MaxCalibrator quant) model.layers.68.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.22e+01 calibrator=MaxCalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0684](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0400](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0403](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0598](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0649](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0481](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0618](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.30e+01 calibrator=MaxCalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0598](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0432](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0510](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0505](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0493](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0481](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0430](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.68.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.68.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.69.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.88e-01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.84e+00 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.55e+00 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.02e-01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.92e-01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.60e-01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.25e+01 calibrator=MaxCalibrator quant) model.layers.69.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.69.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.72e-01 calibrator=MaxCalibrator quant) model.layers.69.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.45e+01 calibrator=MaxCalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0640](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0352](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0542](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0654](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0452](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0708](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0398](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.30e+02 calibrator=MaxCalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0046, 0.0737](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0019, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0053, 0.0537](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0791](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0608](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0050, 0.0620](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0981](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0566](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.69.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.69.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.70.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.60e-01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.12e+00 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e+00 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.98e+01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.93e-01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.98e+01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.05e-01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.98e+01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e-01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.98e+01 calibrator=MaxCalibrator quant) model.layers.70.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.70.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.80e-01 calibrator=MaxCalibrator quant) model.layers.70.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.48e+01 calibrator=MaxCalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0796](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0393](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0403](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0674](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0508](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0396](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0564](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0493](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e+02 calibrator=MaxCalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.1787](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0391](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0048, 0.0820](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0635](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0491](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0771](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.0947](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.70.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.70.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.71.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.55e+01 calibrator=MaxCalibrator quant) model.layers.71.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.98e-01 calibrator=MaxCalibrator quant) model.layers.71.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.55e+01 calibrator=MaxCalibrator quant) model.layers.71.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.00e-01 calibrator=MaxCalibrator quant) model.layers.71.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.55e+01 calibrator=MaxCalibrator quant) model.layers.71.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.50e-01 calibrator=MaxCalibrator quant) model.layers.71.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.31e+00 calibrator=MaxCalibrator quant) model.layers.71.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.44e+00 calibrator=MaxCalibrator quant) model.layers.71.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.71.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.71.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.71.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.71.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.62e+01 calibrator=MaxCalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0537](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0547](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0413](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0454](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0493](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0496](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0874](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0334](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e+01 calibrator=MaxCalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0457](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0608](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0454](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.0540](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0605](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0356](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.71.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.71.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.72.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.88e-01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.22e+00 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e+00 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.45e+01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.59e-01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.45e+01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.03e-01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.45e+01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e-01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.45e+01 calibrator=MaxCalibrator quant) model.layers.72.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.72.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.60e-01 calibrator=MaxCalibrator quant) model.layers.72.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.00e+01 calibrator=MaxCalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0522](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0449](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.1143](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0374](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0491](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0366](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0669](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.65e+01 calibrator=MaxCalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0728](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0415](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0879](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0674](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0894](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0815](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.1504](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.72.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.72.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.73.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.20e-01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.72e+00 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+00 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.81e-01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.75e-01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.77e-01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.73.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.73.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.58e-01 calibrator=MaxCalibrator quant) model.layers.73.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.10e+01 calibrator=MaxCalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0684](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0894](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0583](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0405](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0369](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0474](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0835](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0417](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.31e+02 calibrator=MaxCalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0052, 0.1943](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.1147](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.1592](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0449](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0004, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0530](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.0967](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1387](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.73.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.73.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.74.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.56e-01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.19e+00 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e+00 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.87e-01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.24e-01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.34e-01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.74.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.74.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.54e-01 calibrator=MaxCalibrator quant) model.layers.74.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1021](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0496](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0432](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0630](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0850](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0767](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0408](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1108](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.06e+02 calibrator=MaxCalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0002, 0.0840](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0767](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.1426](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0048, 0.2412](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0771](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0026, 0.0845](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0508](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0723](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.74.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.74.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.75.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.45e+01 calibrator=MaxCalibrator quant) model.layers.75.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.16e-01 calibrator=MaxCalibrator quant) model.layers.75.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.45e+01 calibrator=MaxCalibrator quant) model.layers.75.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.99e-01 calibrator=MaxCalibrator quant) model.layers.75.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.45e+01 calibrator=MaxCalibrator quant) model.layers.75.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.34e-01 calibrator=MaxCalibrator quant) model.layers.75.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.59e+00 calibrator=MaxCalibrator quant) model.layers.75.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e+00 calibrator=MaxCalibrator quant) model.layers.75.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.75.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.75.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.75.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.75.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.00e+01 calibrator=MaxCalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1338](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0294](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0581](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0679](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0544](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0525](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0659](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0581](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.37e+02 calibrator=MaxCalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1270](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0503](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0830](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0679](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0840](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.0544](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.1162](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0781](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.75.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.75.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.76.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.59e-01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.58e+00 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.20e+01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e-01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.20e+01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.65e-01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.20e+01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.34e-01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.20e+01 calibrator=MaxCalibrator quant) model.layers.76.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.76.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.51e-01 calibrator=MaxCalibrator quant) model.layers.76.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.05e+01 calibrator=MaxCalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.1138](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0693](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0967](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0413](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0289](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0613](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0272](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0859](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.20e+01 calibrator=MaxCalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.1914](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0664](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0050, 0.1396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0330](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0557](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0009, 0.0525](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0427](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.1104](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.76.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.76.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.77.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.15e-01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.40e+01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.62e+00 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.30e+01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.59e-01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.30e+01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.50e-01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.30e+01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.17e-01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.30e+01 calibrator=MaxCalibrator quant) model.layers.77.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.77.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.56e-01 calibrator=MaxCalibrator quant) model.layers.77.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.35e+01 calibrator=MaxCalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0535](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0684](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.1064](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0850](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0625](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1035](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.32e+02 calibrator=MaxCalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0021, 0.1030](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0048, 0.0977](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.1865](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0015, 0.1221](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0474](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0713](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0028, 0.0618](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.1484](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.77.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.77.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.78.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.48e-01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.19e+01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e+00 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.18e-01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.20e-01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e-01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.78.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.78.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.67e-01 calibrator=MaxCalibrator quant) model.layers.78.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0688](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0894](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1367](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0703](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0459](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0771](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0771](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0214](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.37e+02 calibrator=MaxCalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0791](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.2734](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1504](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0049, 0.1099](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0593](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.2656](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.2949](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0253](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.78.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.78.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.79.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.95e+01 calibrator=MaxCalibrator quant) model.layers.79.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e-01 calibrator=MaxCalibrator quant) model.layers.79.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.95e+01 calibrator=MaxCalibrator quant) model.layers.79.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.16e-01 calibrator=MaxCalibrator quant) model.layers.79.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.95e+01 calibrator=MaxCalibrator quant) model.layers.79.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.27e-01 calibrator=MaxCalibrator quant) model.layers.79.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.56e+00 calibrator=MaxCalibrator quant) model.layers.79.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.31e+00 calibrator=MaxCalibrator quant) model.layers.79.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.79.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.79.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.79.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.79.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.60e+01 calibrator=MaxCalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0194](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0532](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0850](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0544](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0466](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0253](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0737](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.47e+02 calibrator=MaxCalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0306](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1128](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0894](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1387](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0376](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0583](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0850](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0962](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.79.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.79.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.80.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.84e-01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.14e+01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.65e+00 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.40e-01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.09e-01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.23e-01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.20e+01 calibrator=MaxCalibrator quant) model.layers.80.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.80.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.46e-01 calibrator=MaxCalibrator quant) model.layers.80.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e+01 calibrator=MaxCalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0645](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.0610](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0474](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0596](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0464](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0586](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0469](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0309](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.40e+02 calibrator=MaxCalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0771](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0532](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0420](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1484](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0044, 0.1240](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0625](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.0581](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0669](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.80.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.80.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.81.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.59e-01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.90e+01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.50e+00 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.80e+01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.80e-01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.80e+01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.41e-01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.80e+01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.26e-01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.80e+01 calibrator=MaxCalibrator quant) model.layers.81.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.81.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.60e-01 calibrator=MaxCalibrator quant) model.layers.81.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.92e+01 calibrator=MaxCalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0583](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0576](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0781](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0432](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0737](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0649](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0464](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0442](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.44e+02 calibrator=MaxCalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0488](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.1455](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0630](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0466](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1445](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0442](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0003, 0.0835](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.81.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.81.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.82.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.05e-01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.55e+01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.61e+00 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.62e+01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.55e-01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.62e+01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.71e-01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.62e+01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.30e-01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.62e+01 calibrator=MaxCalibrator quant) model.layers.82.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.82.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e-01 calibrator=MaxCalibrator quant) model.layers.82.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.48e+01 calibrator=MaxCalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0151](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0649](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.0540](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0243](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0825](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0884](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0728](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0610](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.94e+02 calibrator=MaxCalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0255](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0051, 0.0874](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.1230](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0332](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.2305](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.2324](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0008, 0.0486](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.2520](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.82.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.82.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.83.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.18e+01 calibrator=MaxCalibrator quant) model.layers.83.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.93e-01 calibrator=MaxCalibrator quant) model.layers.83.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.18e+01 calibrator=MaxCalibrator quant) model.layers.83.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.37e-01 calibrator=MaxCalibrator quant) model.layers.83.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.18e+01 calibrator=MaxCalibrator quant) model.layers.83.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.63e-01 calibrator=MaxCalibrator quant) model.layers.83.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.38e+00 calibrator=MaxCalibrator quant) model.layers.83.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.28e+00 calibrator=MaxCalibrator quant) model.layers.83.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.83.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.83.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.83.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.83.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.12e+01 calibrator=MaxCalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0503](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0718](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0486](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0913](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0569](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0864](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0767](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.89e+02 calibrator=MaxCalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0023, 0.0469](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1504](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0466](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0771](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0381](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.1465](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.1553](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.83.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.83.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.84.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=9.61e-01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.70e+01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.86e+00 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.60e+01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.46e-01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.60e+01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.51e-01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.60e+01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.17e-01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.60e+01 calibrator=MaxCalibrator quant) model.layers.84.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.84.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.45e-01 calibrator=MaxCalibrator quant) model.layers.84.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.90e+01 calibrator=MaxCalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0220](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0654](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0583](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0474](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0505](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1069](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0962](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0659](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.01e+02 calibrator=MaxCalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0261](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0640](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0684](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.0806](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0425](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0471](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0776](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0933](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.84.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.84.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.85.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.82e-01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.35e+01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.59e+00 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.25e+01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.02e-01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.25e+01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.55e-01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.25e+01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.19e-01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.25e+01 calibrator=MaxCalibrator quant) model.layers.85.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.85.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.60e-01 calibrator=MaxCalibrator quant) model.layers.85.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.60e+01 calibrator=MaxCalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.0498](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0198](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.1011](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.0918](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0820](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0605](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.1021](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.2090](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.34e+02 calibrator=MaxCalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0527](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0240](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0938](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0625](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.1475](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0041, 0.0459](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0047, 0.1055](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0952](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.85.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.85.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.86.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.23e-01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.72e+01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.57e+00 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.75e+01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.61e-01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.75e+01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.81e-01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.75e+01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.20e-01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.75e+01 calibrator=MaxCalibrator quant) model.layers.86.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.86.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.64e-01 calibrator=MaxCalibrator quant) model.layers.86.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.12e+01 calibrator=MaxCalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0884](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0559](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0747](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0669](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.1064](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0581](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0625](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0747](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.88e+02 calibrator=MaxCalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0020, 0.0693](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0013, 0.0825](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0879](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.1445](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0046, 0.1299](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0452](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0038, 0.0718](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.0884](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.86.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.86.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.87.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.68e+01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.04e-01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.68e+01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.33e-01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.68e+01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.77e-01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.01e+01 calibrator=MaxCalibrator quant) model.layers.87.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.36e+00 calibrator=MaxCalibrator quant) model.layers.87.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.87.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.87.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.87.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.87.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.70e+01 calibrator=MaxCalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1553](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0579](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0889](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0297](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0605](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0942](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0383](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0762](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.14e+02 calibrator=MaxCalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.2197](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0383](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.2314](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0432](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0046, 0.0513](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.1992](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1758](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.0562](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.87.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.87.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.88.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.94e-01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.35e+01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.30e+00 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.32e-01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.36e-01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.29e-01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.50e+01 calibrator=MaxCalibrator quant) model.layers.88.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.88.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.41e-01 calibrator=MaxCalibrator quant) model.layers.88.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.70e+01 calibrator=MaxCalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0498](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0217](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0337](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0645](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1689](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0864](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0042, 0.0933](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.1143](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.98e+02 calibrator=MaxCalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0444](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0299](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0422](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0029, 0.0532](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0002, 0.0898](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0586](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1279](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0040, 0.1807](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.88.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.88.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.89.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.90e-01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.88e+01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.17e+00 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.86e-01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.59e-01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.13e-01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=6.90e+01 calibrator=MaxCalibrator quant) model.layers.89.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.89.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.42e-01 calibrator=MaxCalibrator quant) model.layers.89.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.30e+01 calibrator=MaxCalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0190](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0217](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1318](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0500](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0447](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.0542](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0564](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0840](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.96e+02 calibrator=MaxCalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0417](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0359](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.2021](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.0510](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0322](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0786](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0532](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0033, 0.0562](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.89.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.89.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.conv1d.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.layers.90.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.conv1d.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=5.70e-01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.out_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.92e+01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.out_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.05e+00 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.30e+01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.71e-01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_z.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.30e+01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.73e-01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_b.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.30e+01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.in_proj_b.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.25e-01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_a.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=7.30e+01 calibrator=MaxCalibrator quant) model.layers.90.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.layers.90.linear_attn.in_proj_a.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=1.54e-01 calibrator=MaxCalibrator quant) model.layers.90.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.42e+01 calibrator=MaxCalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0427](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0036, 0.1138](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0459](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0757](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0031, 0.1060](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0815](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0420](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1099](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.40e+02 calibrator=MaxCalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0549](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.6406](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0032, 0.0786](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0035, 0.0723](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0043, 0.3203](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0962](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0030, 0.0569](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.3711](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.90.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.90.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) model.layers.91.self_attn.q_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.35e+01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.self_attn.q_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.45e-01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.k_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.35e+01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.self_attn.k_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.48e-01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.v_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.35e+01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.self_attn.v_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=3.05e-01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.o_proj.input_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=2.20e+01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.self_attn.o_proj.weight_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=8.79e-01 calibrator=MaxCalibrator quant) model.layers.91.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.layers.91.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.91.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=4.48e+02(const) calibrator=MaxCalibrator quant) model.layers.91.self_attn.p_bmm_quantizer TensorQuantizer(disabled) model.layers.91.mlp.experts.gate_up_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.68e+01 calibrator=MaxCalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0693](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0037, 0.1289](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0757](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.1113](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0549](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0388](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0598](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.gate_up_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0806](2097152) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.10e+03 calibrator=MaxCalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.0 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0034, 0.1396](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.1 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0045, 0.4023](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.2 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.4629](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.3 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0039, 0.2715](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.4 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0011, 0.0437](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.5 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0000, 0.0386](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.6 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0024, 0.0659](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.experts.down_proj_weight_quantizers.7 StaticBlockScaleQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'static', 'scale_bits': (4, 3)}, amax=[0.0001, 0.1235](1048576) calibrator=NVFP4MSECalibrator quant) model.layers.91.mlp.shared_expert.gate_proj.input_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.gate_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.gate_proj.weight_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.up_proj.input_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.up_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.up_proj.weight_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.down_proj.input_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.down_proj.output_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert.down_proj.weight_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert_gate.input_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert_gate.output_quantizer TensorQuantizer(disabled) model.layers.91.mlp.shared_expert_gate.weight_quantizer TensorQuantizer(disabled) lm_head.input_quantizer TensorQuantizer(disabled) lm_head.output_quantizer TensorQuantizer(disabled) lm_head.weight_quantizer TensorQuantizer(disabled) 4376 TensorQuantizers found in model