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{ |
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"_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct", |
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"architectures": [ |
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"Qwen2ForCausalLM" |
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], |
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"model_type": "qwen2", |
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"num_hidden_layers": 28, |
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"num_key_value_heads": 2, |
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"quantization_config": { |
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"amp": true, |
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"autoround_version": "0.3", |
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"bits": 4, |
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"damp_percent": 0.01, |
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"data_type": "int", |
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"desc_act": false, |
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"enable_minmax_tuning": true, |
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"enable_quanted_input": true, |
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"gradient_accumulate_steps": 1, |
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"group_size": 128, |
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"iters": 1000, |
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"low_gpu_mem_usage": false, |
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"lr": 0.001, |
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"minmax_lr": 0.001, |
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"nsamples": 512, |
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"quant_method": "gptq", |
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"scale_dtype": "torch.float16", |
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"seqlen": 2048, |
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"sym": false, |
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"train_bs": 8, |
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"true_sequential": false |
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}, |
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"rms_norm_eps": 1e-06, |
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"rope_scaling": null, |
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"rope_theta": 1000000.0, |
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"sliding_window": null, |
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"tie_word_embeddings": true, |
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"torch_dtype": "float16", |
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"transformers_version": "4.45.2", |
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"use_cache": true, |
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"use_sliding_window": false, |
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"vocab_size": 151936 |
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} |
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