{ "architectures": [ "LongcatFlashForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "attention_method": "MLA", "auto_map": { "AutoConfig": "configuration_longcat_flash.LongcatFlashConfig", "AutoModel": "modeling_longcat_flash.LongcatFlashModel", "AutoModelForCausalLM": "modeling_longcat_flash.LongcatFlashForCausalLM" }, "bos_token_id": 1, "eos_token_id": 2, "expert_ffn_hidden_size": 2048, "ffn_hidden_size": 12288, "hidden_size": 6144, "kv_lora_rank": 512, "max_position_embeddings": 131072, "mla_scale_kv_lora": true, "mla_scale_q_lora": true, "model_type": "longcat_flash", "moe_topk": 12, "n_routed_experts": 512, "num_attention_heads": 64, "num_layers": 28, "q_lora_rank": 1536, "qk_nope_head_dim": 128, "qk_rope_head_dim": 64, "quantization": { "group_size": 64, "bits": 4, "mode": "affine", "model.embed_tokens": { "group_size": 64, "bits": 8 }, "model.layers.0.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.0.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.0.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.1.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.1.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.2.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.2.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.3.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.3.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.4.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.4.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.5.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.5.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.6.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.6.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.6.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.7.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.7.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.7.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.8.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.8.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.8.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.9.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.9.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.9.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.10.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.10.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.11.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.11.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.11.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.12.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.12.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.12.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.13.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.13.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.13.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.14.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.14.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.14.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.15.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.15.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.16.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.16.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.16.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.17.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.17.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.17.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.18.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.18.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.18.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.19.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.19.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.19.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.20.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.20.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.21.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.21.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.21.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.22.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.22.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.22.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.23.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.23.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.23.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.24.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.24.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.24.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.25.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.25.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.26.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.26.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.26.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.27.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.27.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.27.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "lm_head": { "group_size": 64, "bits": 8 } }, "quantization_config": { "group_size": 64, "bits": 4, "mode": "affine", "model.embed_tokens": { "group_size": 64, "bits": 8 }, "model.layers.0.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.0.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.0.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.0.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.1.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.1.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.1.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.2.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.2.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.2.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.3.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.3.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.3.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.4.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.4.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.4.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.5.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.5.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.5.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.6.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.6.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.6.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.6.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.7.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.7.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.7.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.7.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.8.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.8.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.8.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.8.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.9.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.9.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.9.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.9.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.10.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.10.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.10.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.11.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.11.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.11.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.11.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.12.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.12.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.12.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.12.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.13.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.13.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.13.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.13.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.14.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.14.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.14.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.14.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.15.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.15.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.15.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.16.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.16.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.16.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.16.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.17.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.17.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.17.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.17.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.18.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.18.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.18.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.18.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.19.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.19.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.19.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.19.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.20.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.20.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.20.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.21.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.21.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.21.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.21.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.22.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.22.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.22.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.22.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.23.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.23.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.23.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.23.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.24.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.24.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.24.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.24.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.25.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.25.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.25.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.26.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.26.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.26.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.26.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlp.switch_mlp.gate_proj": { "group_size": 64, "bits": 6 }, "model.layers.27.mlp.switch_mlp.up_proj": { "group_size": 64, "bits": 6 }, "model.layers.27.mlp.switch_mlp.down_proj": { "group_size": 64, "bits": 6 }, "model.layers.27.mlp.router.classifier": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.0.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.q_a_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.q_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.kv_a_proj_with_mqa": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.kv_b_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.self_attn.1.o_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.0.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.0.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.0.down_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.1.gate_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.1.up_proj": { "group_size": 64, "bits": 8 }, "model.layers.27.mlps.1.down_proj": { "group_size": 64, "bits": 8 }, "lm_head": { "group_size": 64, "bits": 8 } }, "rms_norm_eps": 1e-05, "rope_theta": 10000000.0, "routed_scaling_factor": 6.0, "use_cache": true, "v_head_dim": 128, "vocab_size": 131072, "zero_expert_num": 256, "zero_expert_type": "identity" }