{ "_name_or_path": "./mnt/out", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 1, "eos_token_id": 2, "hidden_act": "silu", "hidden_size": 5120, "initializer_range": 0.02, "intermediate_size": 13824, "max_position_embeddings": 4096, "model_type": "llama", "num_attention_heads": 40, "num_hidden_layers": 40, "num_key_value_heads": 40, "pretraining_tp": 1, "quantization_config": { "in_group_size": 8, "linear_weights_not_to_quantize": [ "model.layers.0.input_layernorm.weight", "model.layers.0.post_attention_layernorm.weight", "model.layers.1.input_layernorm.weight", "model.layers.1.post_attention_layernorm.weight", "model.layers.2.input_layernorm.weight", "model.layers.2.post_attention_layernorm.weight", "model.layers.3.input_layernorm.weight", "model.layers.3.post_attention_layernorm.weight", "model.layers.4.input_layernorm.weight", "model.layers.4.post_attention_layernorm.weight", "model.layers.5.input_layernorm.weight", "model.layers.5.post_attention_layernorm.weight", "model.layers.6.input_layernorm.weight", "model.layers.6.post_attention_layernorm.weight", "model.layers.7.input_layernorm.weight", "model.layers.7.post_attention_layernorm.weight", "model.layers.8.input_layernorm.weight", "model.layers.8.post_attention_layernorm.weight", "model.layers.9.input_layernorm.weight", "model.layers.9.post_attention_layernorm.weight", "model.layers.10.input_layernorm.weight", "model.layers.10.post_attention_layernorm.weight", "model.layers.11.input_layernorm.weight", "model.layers.11.post_attention_layernorm.weight", "model.layers.12.input_layernorm.weight", "model.layers.12.post_attention_layernorm.weight", "model.layers.13.input_layernorm.weight", "model.layers.13.post_attention_layernorm.weight", "model.layers.14.input_layernorm.weight", "model.layers.14.post_attention_layernorm.weight", "model.layers.15.input_layernorm.weight", "model.layers.15.post_attention_layernorm.weight", "model.layers.16.input_layernorm.weight", "model.layers.16.post_attention_layernorm.weight", "model.layers.17.input_layernorm.weight", "model.layers.17.post_attention_layernorm.weight", "model.layers.18.input_layernorm.weight", "model.layers.18.post_attention_layernorm.weight", "model.layers.19.input_layernorm.weight", "model.layers.19.post_attention_layernorm.weight", "model.layers.20.input_layernorm.weight", "model.layers.20.post_attention_layernorm.weight", "model.layers.21.input_layernorm.weight", "model.layers.21.post_attention_layernorm.weight", "model.layers.22.input_layernorm.weight", "model.layers.22.post_attention_layernorm.weight", "model.layers.23.input_layernorm.weight", "model.layers.23.post_attention_layernorm.weight", "model.layers.24.input_layernorm.weight", "model.layers.24.post_attention_layernorm.weight", "model.layers.25.input_layernorm.weight", "model.layers.25.post_attention_layernorm.weight", "model.layers.26.input_layernorm.weight", "model.layers.26.post_attention_layernorm.weight", "model.layers.27.input_layernorm.weight", "model.layers.27.post_attention_layernorm.weight", "model.layers.28.input_layernorm.weight", "model.layers.28.post_attention_layernorm.weight", "model.layers.29.input_layernorm.weight", "model.layers.29.post_attention_layernorm.weight", "model.layers.30.input_layernorm.weight", "model.layers.30.post_attention_layernorm.weight", "model.layers.31.input_layernorm.weight", "model.layers.31.post_attention_layernorm.weight", "model.layers.32.input_layernorm.weight", "model.layers.32.post_attention_layernorm.weight", "model.layers.33.input_layernorm.weight", "model.layers.33.post_attention_layernorm.weight", "model.layers.34.input_layernorm.weight", "model.layers.34.post_attention_layernorm.weight", "model.layers.35.input_layernorm.weight", "model.layers.35.post_attention_layernorm.weight", "model.layers.36.input_layernorm.weight", "model.layers.36.post_attention_layernorm.weight", "model.layers.37.input_layernorm.weight", "model.layers.37.post_attention_layernorm.weight", "model.layers.38.input_layernorm.weight", "model.layers.38.post_attention_layernorm.weight", "model.layers.39.input_layernorm.weight", "model.layers.39.post_attention_layernorm.weight", "model.embed_tokens.weight", "model.norm.weight", "lm_head.weight" ], "nbits_per_codebook": 16, "num_codebooks": 1, "out_group_size": 1, "quant_method": "aqlm" }, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "torch_dtype": "float16", "transformers_version": "4.39.3", "use_cache": true, "vocab_size": 32000 }