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| "activation_function": "relu", | |
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| ], | |
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| "do_layer_norm_before": true, | |
| "dropout": 0.1, | |
| "enable_bias": true, | |
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| "hidden_size": 768, | |
| "init_std": 0.02, | |
| "layer_norm_elementwise_affine": true, | |
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| "model_type": "opt", | |
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| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "prefix": "</s>", | |
| "quantization_config": { | |
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| "bits": 4, | |
| "block_name_to_quantize": "model.decoder.layers", | |
| "damp_percent": 0.01, | |
| "dataset": [ | |
| "auto-gptq is an easy-to-use model quantization library with user-friendly apis, based on GPTQ algorithm." | |
| ], | |
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| "model.decoder.embed_tokens", | |
| "model.decoder.embed_positions", | |
| "model.decoder.final_layer_norm" | |
| ], | |
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| "quant_method": "gptq", | |
| "sym": true, | |
| "tokenizer": null, | |
| "true_sequential": true, | |
| "use_cuda_fp16": true | |
| }, | |
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| "transformers_version": "4.32.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 50272, | |
| "word_embed_proj_dim": 768 | |
| } | |