| { | |
| "_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 32013, | |
| "eos_token_id": 32014, | |
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| "hidden_act": "silu", | |
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| "intermediate_size": 5504, | |
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| "mlp_bias": false, | |
| "model_type": "llama", | |
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| "num_hidden_layers": 24, | |
| "num_key_value_heads": 16, | |
| "pretraining_tp": 1, | |
| "quantization_config": { | |
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| "bits": 4, | |
| "block_name_to_quantize": null, | |
| "cache_block_outputs": true, | |
| "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, | |
| "exllama_config": { | |
| "version": 1 | |
| }, | |
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| "pad_token_id": null, | |
| "quant_method": "gptq", | |
| "sym": true, | |
| "tokenizer": null, | |
| "true_sequential": true, | |
| "use_cuda_fp16": false, | |
| "use_exllama": true | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": { | |
| "factor": 4.0, | |
| "rope_type": "linear", | |
| "type": "linear" | |
| }, | |
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| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
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| "use_cache": true, | |
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| } | |