为了保证文件的完整性，请一定要检查下列文件SHA256值的一致性。
To ensure the completeness of the model, please check the folllowing SHA256 before using them.
下表展示了Facebook发布的原版英文LLaMA的SHA256。
The followings are SHA256 values for the original LLaMA files.
| Model (.pth) | Parts | SHA256 |
|---|---|---|
| 7B | 00 | 700df0d3013b703a806d2ae7f1bfb8e59814e3d06ae78be0c66368a50059f33d |
| 13B | 00 | 745bf4e29a4dd6f411e72976d92b452da1b49168a4f41c951cfcc8051823cf08 |
| 13B | 01 | d5ccbcc465c71c0de439a5aeffebe8344c68a519bce70bc7f9f92654ee567085 |
下表展示了下载压缩包的SHA256。
The followings are SHA256 values for downloaded zip files.
| LoRA Model (.zip) | SHA256 |
|---|---|
| Chinese-LLaMA-7B | 39b86b310fe4c2b76fd1dd8234775af63ab94772a80bcae33a4086a9a7fe0e60 |
| Chinese-LLaMA-13B | 3d6dee787526db8bebc46271287e83b176e0f0db026dff493e088baf9be5199b |
| Chinese-Alpaca-7B | 9bb5b639dc2ea9ad593268b5f6abf85514c7637bf10f2344eb7031fe0fce2d87 |
| Chinese-Alpaca-13B | 45c92e574fdfee1d48d573a1df3a782b5183ec486d4c5f0d716c7d43a2682d91 |
下表展示了合并LoRA权重后的全量模型权重（PyTorch版）的SHA256。
The followings are SHA256 values for merged files (consolidated.00.pth) in the last merging step.
因Transformers库更新频繁，合并后的模型权重SHA256可能随Transformers更新而发生变化，不具有普遍参考价值，因此我们不再展示合并后模型的SHA256。
Due to the frequent updates of the Transformers library, the SHA256 of the merged model may change with the update of Transformers and is not stable, so we no longer show the SHA256 of the merged model.
In MacOS,
> shasum -a 256 your-model-file
In Linux,
> sha256sum your-model-file
In Windows,
> certutil -hashfile your-model-file sha256