| { |
| "architectures": [ |
| "Step3p5ForCausalLM" |
| ], |
| "att_impl_type": "GQA", |
| "attention_other_setting": { |
| "attention_type": "sliding_attention", |
| "num_attention_heads": 96, |
| "num_attention_groups": 8, |
| "head_dim": 128, |
| "true_head_dim": 128 |
| }, |
| "auto_map": { |
| "AutoConfig": "configuration_step3p5.Step3p5Config", |
| "AutoModelForCausalLM": "modeling_step3p5.Step3p5ForCausalLM" |
| }, |
| "bos_token_id": 0, |
| "eos_token_id": [ |
| 1, |
| 2, |
| 128007 |
| ], |
| "head_dim": 128, |
| "hidden_size": 4096, |
| "intermediate_size": 11264, |
| "layer_types": [ |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention" |
| ], |
| "max_position_embeddings": 262144, |
| "max_seq_len": 262144, |
| "model_type": "step3p5", |
| "moe_every_n_layer": 1, |
| "moe_intermediate_size": 1280, |
| "moe_layer_offset": 0, |
| "moe_layers_enum": "3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44", |
| "moe_num_experts": 288, |
| "moe_router_activation": "sigmoid", |
| "moe_router_scaling_factor": 3.0, |
| "moe_top_k": 8, |
| "need_fp32_gate": true, |
| "norm_expert_weight": true, |
| "num_attention_groups": 8, |
| "num_attention_heads": 64, |
| "num_hidden_layers": 45, |
| "num_nextn_predict_layers": 3, |
| "partial_rotary_factors": [ |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0, |
| 0.5, |
| 1.0, |
| 1.0, |
| 1.0 |
| ], |
| "quantization": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine", |
| "model.embed_tokens": { |
| "group_size": 64, |
| "bits": 6, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.0.mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.0.mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.0.mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "lm_head": { |
| "group_size": 64, |
| "bits": 6, |
| "mode": "affine" |
| } |
| }, |
| "quantization_config": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine", |
| "model.embed_tokens": { |
| "group_size": 64, |
| "bits": 6, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.0.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.0.mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.0.mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.0.mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.1.mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.2.mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.3.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.4.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.5.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.6.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.7.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.8.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.9.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.10.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.11.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.12.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.13.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.14.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.15.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.16.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.17.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.18.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.19.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.20.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.21.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.22.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.23.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.24.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.25.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.26.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.27.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.28.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.29.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.30.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.31.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.32.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.33.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.34.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.35.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.36.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.37.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.38.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.39.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.40.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.41.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.42.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.43.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.q_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.k_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.v_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.o_proj": { |
| "group_size": 64, |
| "bits": 4, |
| "mode": "affine" |
| }, |
| "model.layers.44.self_attn.g_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.gate.gate": { |
| "group_size": 64, |
| "bits": 8, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.switch_mlp.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.switch_mlp.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.switch_mlp.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.share_expert.gate_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.share_expert.up_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "model.layers.44.mlp.share_expert.down_proj": { |
| "group_size": 64, |
| "bits": 3, |
| "mode": "affine" |
| }, |
| "lm_head": { |
| "group_size": 64, |
| "bits": 6, |
| "mode": "affine" |
| } |
| }, |
| "rope_scaling": { |
| "rope_type": "llama3", |
| "factor": 2.0, |
| "original_max_position_embeddings": 131072, |
| "low_freq_factor": 1.0, |
| "high_freq_factor": 32.0 |
| }, |
| "rope_theta": [ |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0, |
| 5000000.0, |
| 10000.0, |
| 10000.0, |
| 10000.0 |
| ], |
| "share_expert_dim": 1280, |
| "sink": false, |
| "sliding_window": 512, |
| "swiglu_limits": [ |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 7, |
| 7, |
| 0.0, |
| 0.0, |
| 0.0 |
| ], |
| "swiglu_limits_shared": [ |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 0.0, |
| 16, |
| 0.0, |
| 0.0, |
| 0.0 |
| ], |
| "torch_dtype": "bfloat16", |
| "use_head_wise_attn_gate": true, |
| "use_moe": true, |
| "use_moe_router_bias": true, |
| "use_qk_norm": true, |
| "use_rope_layers": [], |
| "vocab_size": 128896, |
| "yarn_only_types": [ |
| "full_attention" |
| ], |
| "zero_centered": true |
| } |
