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  首先下载LLaMA原始权重,然后使用[权重转换脚本](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py)转换权重。
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  ```python
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  python src/transformers/models/llama/convert_llama_weights_to_hf.py \
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- --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir /output/LLaMA_hf
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  ```
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  ## Step2:使用[解密脚本](https://github.com/icalk-nlp/EduChat/blob/main/decrypt.py)将增量权重加到原始LLaMA权重上。
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  ```python
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- python ./decrypt.py --base /path/to/LLAMA_hf --target ./educhat-base-002-7b-decrypt --delta /path/to/educhat-base-002-7b
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  ```
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  # 使用示例
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  转换权重后,使用示例请参考:https://github.com/icalk-nlp/EduChat#%E4%BD%BF%E7%94%A8%E7%A4%BA%E4%BE%8B
 
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  首先下载LLaMA原始权重,然后使用[权重转换脚本](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py)转换权重。
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  ```python
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  python src/transformers/models/llama/convert_llama_weights_to_hf.py \
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+ --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir /output/LLaMA_hf/7B
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  ```
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  ## Step2:使用[解密脚本](https://github.com/icalk-nlp/EduChat/blob/main/decrypt.py)将增量权重加到原始LLaMA权重上。
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  ```python
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+ python ./decrypt.py --base /path/to/LLAMA_hf/7B --target ./educhat-base-002-7b-decrypt --delta /path/to/educhat-base-002-7b
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  ```
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  # 使用示例
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  转换权重后,使用示例请参考:https://github.com/icalk-nlp/EduChat#%E4%BD%BF%E7%94%A8%E7%A4%BA%E4%BE%8B