| { |
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| "architectures": [ |
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| ], |
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| "backend": "auto_round:exllamav2", |
| "batch_size": 4, |
| "bits": 8, |
| "data_type": "int", |
| "dataset": "NeelNanda/pile-10k", |
| "enable_minmax_tuning": true, |
| "enable_norm_bias_tuning": false, |
| "enable_quanted_input": true, |
| "gradient_accumulate_steps": 1, |
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| "iters": 200, |
| "low_gpu_mem_usage": false, |
| "lr": 0.005, |
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| "quant_method": "intel/auto-round", |
| "scale_dtype": "torch.float16", |
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| "sym": false, |
| "to_quant_block_names": null |
| }, |
| "rms_norm_eps": 1e-05, |
| "rope_scaling": { |
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| "high_freq_factor": 4.0, |
| "low_freq_factor": 1.0, |
| "original_max_position_embeddings": 8192, |
| "rope_type": "llama3" |
| }, |
| "rope_theta": 500000.0, |
| "tie_word_embeddings": true, |
| "torch_dtype": "float32", |
| "transformers_version": "4.47.1", |
| "use_cache": true, |
| "vocab_size": 128256 |
| } |
|
|
