{ "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 0, "dtype": "float16", "eos_token_id": [ 1, 130073 ], "head_dim": 128, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 6144, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 16, "num_hidden_layers": 42, "num_key_value_heads": 2, "pad_token_id": 1, "pretraining_tp": 1, "quantization_config": { "bits": 4, "checkpoint_format": "gemm", "desc_act": false, "format": "gemm", "group_size": 128, "lm_head": false, "method": "awq", "pack_dtype": "int32", "quant_method": "awq", "version": "gemm", "zero_point": true, "meta": { "act_group_aware": true, "auto_forward_data_parallel": true, "damp_auto_increment": 0.01, "damp_percent": 0.01, "dense_vram_strategy": "exclusive", "dense_vram_strategy_devices": null, "fallback": { "smooth": null, "strategy": "rtn", "threshold": "0.5%" }, "foem": null, "gc_mode": "interval", "gptaq": { "alpha": 0.25, "device": "auto" }, "hessian": { "chunk_bytes": null, "chunk_size": null, "staging_dtype": "float32" }, "mock_quantization": false, "moe_vram_strategy": "exclusive", "moe_vram_strategy_devices": null, "mse": 0.0, "offload_to_disk": true, "offload_to_disk_path": "/tmp/gptqmodel_vq422ji5", "pack_impl": "cpu", "quantizer": [ "gptqmodel:7.3.5" ], "static_groups": false, "true_sequential": true, "uri": "https://github.com/modelcloud/gptqmodel", "wait_for_submodule_finalizers": false, "repacked_from": { "source_dir": "target_model/rotquant-gptaq-w4-g128-asym-fullmix_scaled_t183", "source_quant_method": "gptq", "source_format": "gptq", "source_sym": false, "converter": "scripts/repack_gptq_asym_to_awq.py", "note": "Layout-only re-encode of an asymmetric GPTQ checkpoint into AWQ GEMM packing. Weights are bit-identical after dequantization; no AWQ scale search was run. Done because vLLM's AutoGPTQConfig.TYPE_MAP has no (4, False) entry and raises on load.", "dequant_verified": true } } }, "rms_norm_eps": 1e-06, "rope_parameters": { "rope_theta": 5000000, "rope_type": "default" }, "tie_word_embeddings": false, "transformers_version": "5.16.1", "use_cache": true, "vocab_size": 130560, "torch_dtype": "float16" }