{ "architectures": [ "Qwen3ForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 5120, "initializer_range": 0.02, "intermediate_size": 25600, "layer_types": [ "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention" ], "max_position_embeddings": 40960, "max_window_layers": 64, "model_type": "qwen3", "num_attention_heads": 64, "num_hidden_layers": 64, "num_key_value_heads": 8, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 1000000, "sliding_window": null, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.55.0", "use_cache": false, "use_sliding_window": false, "vocab_size": 151936, "quantization": { "group_size": 64, "bits": 6, "mode": "affine", "model.embed_tokens": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.3.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.3.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.61.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.61.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.mlp.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.mlp.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.mlp.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "lm_head": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.mlp.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" } }, "quantization_config": { "group_size": 64, "bits": 6, "mode": "affine", "model.embed_tokens": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.mlp.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.3.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.3.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.5.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.61.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.61.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.mlp.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.mlp.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.62.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.mlp.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.o_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "lm_head": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.mlp.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.63.mlp.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" } } }