{ "architectures": [ "LlamaForCausalLM" ], "bos_token_id": 0, "eos_token_id": [ 1, 130073 ], "head_dim": 128, "hidden_act": "silu", "hidden_size": 1536, "initializer_range": 0.02, "intermediate_size": 4608, "max_position_embeddings": 131072, "model_type": "llama", "num_attention_heads": 16, "num_hidden_layers": 24, "num_key_value_heads": 2, "pad_token_id": 1, "quantization": { "group_size": 64, "bits": 4, "mode": "affine", "model.embed_tokens": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.k_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.mlp.gate_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.1.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.1.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.1.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.2.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.2.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.3.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.3.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.4.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.4.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.4.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.5.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.5.self_attn.o_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.6.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.6.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.7.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.self_attn.v_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.7.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.8.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.8.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.self_attn.v_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.8.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.9.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.9.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.10.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.10.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.11.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.11.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.11.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.12.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.12.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.13.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.13.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.14.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.14.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.14.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.15.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.15.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.16.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.16.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.17.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.17.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.17.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.18.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.18.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.19.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.19.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.20.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.20.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.20.self_attn.o_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.21.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.21.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.22.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.22.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.k_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.mlp.gate_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.mlp.up_proj": { "bits": 8, "group_size": 64 }, "lm_head": { "bits": 8, "group_size": 64 } }, "quantization_config": { "group_size": 64, "bits": 4, "mode": "affine", "model.embed_tokens": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.k_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.mlp.gate_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.0.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.1.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.1.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.1.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.1.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.2.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.2.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.2.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.3.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.3.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.3.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.4.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.4.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.4.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.4.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.5.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.5.self_attn.o_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.5.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.6.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.6.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.6.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.7.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.self_attn.v_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.7.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.7.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.8.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.8.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.self_attn.v_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.8.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.8.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.9.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.9.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.9.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.10.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.10.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.10.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.11.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.11.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.11.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.11.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.12.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.12.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.12.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.13.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.13.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.13.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.14.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.14.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.14.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.14.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.15.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.15.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.15.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.16.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.16.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.16.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.17.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.17.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.17.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.17.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.18.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.18.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.18.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.19.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.19.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.19.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.20.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.20.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.20.self_attn.o_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.20.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.21.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.21.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.21.mlp.up_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.self_attn.q_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.self_attn.k_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.22.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.22.mlp.gate_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.mlp.down_proj": { "bits": 4, "group_size": 64 }, "model.layers.22.mlp.up_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.q_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.k_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.v_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.self_attn.o_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.mlp.gate_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.mlp.down_proj": { "bits": 8, "group_size": 64 }, "model.layers.23.mlp.up_proj": { "bits": 8, "group_size": 64 }, "lm_head": { "bits": 8, "group_size": 64 } }, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 5000000, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "5.6.2", "use_cache": true, "vocab_size": 130560 }