| { |
| "_name_or_path": "facebook/opt-125m", |
| "_remove_final_layer_norm": false, |
| "activation_dropout": 0.0, |
| "activation_function": "relu", |
| "architectures": [ |
| "OPTForCausalLM" |
| ], |
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| "bos_token_id": 2, |
| "do_layer_norm_before": true, |
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| "enable_bias": true, |
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| "init_std": 0.02, |
| "layer_norm_elementwise_affine": true, |
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| "max_position_embeddings": 2048, |
| "model_type": "opt", |
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| "num_hidden_layers": 12, |
| "pad_token_id": 1, |
| "prefix": "</s>", |
| "quantization_config": { |
| "batch_size": 1, |
| "bits": 4, |
| "block_name_to_quantize": "model.decoder.layers", |
| "damp_percent": 0.1, |
| "dataset": [ |
| "auto-gptq is an easy-to-use model quantization library with user-friendly apis, based on GPTQ algorithm." |
| ], |
| "desc_act": false, |
| "disable_exllama": false, |
| "group_size": 128, |
| "model_seqlen": 2048, |
| "module_name_preceding_first_block": [ |
| "model.decoder.embed_tokens", |
| "model.decoder.embed_positions", |
| "model.decoder.final_layer_norm" |
| ], |
| "pad_token_id": null, |
| "quant_method": "gptq", |
| "sym": true, |
| "tokenizer": null, |
| "true_sequential": true, |
| "use_cuda_fp16": true |
| }, |
| "torch_dtype": "float16", |
| "transformers_version": "4.33.2", |
| "use_cache": true, |
| "vocab_size": 50272, |
| "word_embed_proj_dim": 768 |
| } |
|
|
