| { | |
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| "architectures": [ | |
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| ], | |
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| "hidden_act": "silu", | |
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| "mlp_bias": false, | |
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| "num_hidden_layers": 24, | |
| "num_key_value_heads": 32, | |
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| "amp": false, | |
| "autoround_version": "0.4.0.dev", | |
| "backend": "auto_round:exllamav2", | |
| "bits": 4, | |
| "data_type": "int", | |
| "dataset": "NeelNanda/pile-10k", | |
| "enable_minmax_tuning": true, | |
| "enable_norm_bias_tuning": false, | |
| "enable_quanted_input": true, | |
| "gradient_accumulate_steps": 1, | |
| "group_size": 128, | |
| "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, | |
| "train_bs": 4 | |
| }, | |
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| "rope_scaling": null, | |
| "rope_theta": 130000, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "float32", | |
| "transformers.js_config": { | |
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| "fp16": "float16", | |
| "q4f16": "float16" | |
| } | |
| }, | |
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| "use_cache": true, | |
| "vocab_size": 49152 | |
| } | |