{ "_name_or_path": "./test_updated_llama1.1b_quant", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 1, "eos_token_id": 2, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 5632, "max_position_embeddings": 2048, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 22, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 10000.0, "quantization_config": { "config_groups": { "group_0": { "input_activations": { "block_structure": null, "group_size": null, "num_bits": 8, "observer": "minmax", "observer_kwargs": {}, "strategy": "tensor", "symmetric": true, "type": "int" }, "output_activations": null, "targets": [ "Linear" ], "weights": { "block_structure": null, "group_size": null, "num_bits": 8, "observer": "minmax", "observer_kwargs": {}, "strategy": "tensor", "symmetric": true, "type": "int" } } }, "format": "compressed", "global_compression_ratio": 1.4375595368095078, "ignore": [ "model.layers.0.mlp.down_proj", "lm_head" ], "quant_method": "sparseml", "quantization_status": "compressed" }, "tie_word_embeddings": false, "torch_dtype": "float32", "transformers_version": "4.39.3", "use_cache": true, "vocab_size": 32000 }