{ "architectures": [ "Lfm2MoeForCausalLM" ], "auto_map": { "AutoConfig": "configuration_lfm2_moe.Lfm2MoeConfig", "AutoModelForCausalLM": "modeling_lfm2_moe.Lfm2MoeForCausalLM" }, "bos_token_id": 1, "conv_L_cache": 3, "conv_bias": false, "dtype": "bfloat16", "eos_token_id": 7, "hidden_size": 2048, "intermediate_size": 7168, "layer_types": [ "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "full_attention", "conv", "conv" ], "max_position_embeddings": 128000, "model_type": "lfm2_moe", "moe_intermediate_size": 1792, "norm_eps": 1e-05, "norm_topk_prob": true, "num_attention_heads": 32, "num_dense_layers": 2, "num_experts": 32, "num_experts_per_tok": 4, "num_hidden_layers": 24, "num_key_value_heads": 8, "pad_token_id": 0, "quantization": { "group_size": 32, "bits": 8, "mode": "affine", "model.embed_tokens": { "group_size": 32, "bits": 6 }, "model.layers.0.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.feed_forward.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.feed_forward.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.feed_forward.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.feed_forward.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.feed_forward.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.feed_forward.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.2.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.3.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.6.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.7.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.10.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.11.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.14.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.15.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.18.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.19.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.21.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.22.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 } }, "quantization_config": { "group_size": 32, "bits": 8, "mode": "affine", "model.embed_tokens": { "group_size": 32, "bits": 6 }, "model.layers.0.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.feed_forward.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.feed_forward.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.0.feed_forward.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.feed_forward.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.feed_forward.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.1.feed_forward.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.2.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.2.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.3.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.3.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.4.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.5.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.6.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.6.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.7.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.7.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.8.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.9.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.10.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.10.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.11.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.11.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.12.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.13.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.14.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.14.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.15.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.15.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.16.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.17.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.18.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.18.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.19.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.19.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.20.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.21.self_attn.q_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.self_attn.k_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.self_attn.v_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.self_attn.out_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.gate": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 8 }, "model.layers.21.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 8 }, "model.layers.22.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.22.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.conv.in_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.conv.out_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.gate": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.switch_mlp.gate_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.switch_mlp.up_proj": { "group_size": 32, "bits": 6 }, "model.layers.23.feed_forward.switch_mlp.down_proj": { "group_size": 32, "bits": 6 } }, "rope_theta": 1000000.0, "routed_scaling_factor": 1.0, "transformers_version": "4.56.1", "use_cache": true, "use_expert_bias": true, "vocab_size": 65536 }