| { | |
| "_name_or_path": "SillyTilly/Mistral-Large-Instruct-2407", | |
| "architectures": [ | |
| "MistralForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
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| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
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| "initializer_range": 0.02, | |
| "intermediate_size": 28672, | |
| "max_position_embeddings": 32768, | |
| "model_type": "mistral", | |
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| "num_hidden_layers": 88, | |
| "num_key_value_heads": 8, | |
| "quantization_config": { | |
| "amp": true, | |
| "autoround_version": "0.4.4", | |
| "batch_size": 4, | |
| "bits": 3, | |
| "damp_percent": 0.01, | |
| "data_type": "int", | |
| "desc_act": false, | |
| "enable_minmax_tuning": true, | |
| "enable_norm_bias_tuning": false, | |
| "enable_quanted_input": true, | |
| "gradient_accumulate_steps": 1, | |
| "group_size": 128, | |
| "iters": 512, | |
| "low_gpu_mem_usage": true, | |
| "lr": 0.001953125, | |
| "minmax_lr": 0.001953125, | |
| "nsamples": 256, | |
| "quant_method": "gptq", | |
| "scale_dtype": "torch.float16", | |
| "seqlen": 2048, | |
| "sym": true, | |
| "to_quant_block_names": null, | |
| "true_sequential": false | |
| }, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.48.0", | |
| "use_cache": true, | |
| "vocab_size": 32768 | |
| } | |