| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "eos_token_id": 128001, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 32768, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "pad_token_id": 128004, | |
| "pretraining_tp": 1, | |
| "quantization_config": { | |
| "autoround_version": "0.6.0", | |
| "batch_size": 4, | |
| "bits": 4, | |
| "data_type": "int", | |
| "gradient_accumulate_steps": 2, | |
| "group_size": 128, | |
| "iters": 1000, | |
| "low_gpu_mem_usage": true, | |
| "nsamples": 512, | |
| "packing_format": "auto_round:auto_gptq", | |
| "quant_method": "auto-round", | |
| "sym": true | |
| }, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 100000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.53.3", | |
| "use_cache": false, | |
| "vocab_size": 128256 | |
| } | |