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@ -442,6 +442,12 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
> [!NOTE] > [!NOTE]
> We recommend using `--per_device_eval_batch_size=1` and `--max_target_length 128` at 4/8-bit predict. > We recommend using `--per_device_eval_batch_size=1` and `--max_target_length 128` at 4/8-bit predict.
## Projects using LLaMA Factory
- **[StarWhisper](https://github.com/Yu-Yang-Li/StarWhisper)**: A large language model for Astronomy, based on ChatGLM2-6B and Qwen-14B.
- **[DISC-LawLLM](https://github.com/FudanDISC/DISC-LawLLM)**: A large language model specialized in Chinese legal domain, based on Baichuan-13B, is capable of retrieving and reasoning on legal knowledge.
- **[Sunsimiao](https://github.com/thomas-yanxin/Sunsimiao)**: A large language model specialized in Chinese medical domain, based on Baichuan-7B and ChatGLM-6B.
## License ## License
This repository is licensed under the [Apache-2.0 License](LICENSE). This repository is licensed under the [Apache-2.0 License](LICENSE).

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README_zh.md
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@ -441,6 +441,12 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
> [!NOTE] > [!NOTE]
> 我们建议在量化模型的预测中使用 `--per_device_eval_batch_size=1` 和 `--max_target_length 128`。 > 我们建议在量化模型的预测中使用 `--per_device_eval_batch_size=1` 和 `--max_target_length 128`。
## 使用了 LLaMA Factory 的项目
- **[StarWhisper](https://github.com/Yu-Yang-Li/StarWhisper)**: 天文大模型 StarWhisper，基于 ChatGLM2-6B 和 Qwen-14B 在天文数据上微调而得。
- **[DISC-LawLLM](https://github.com/FudanDISC/DISC-LawLLM)**: 中文法律领域大模型 DISC-LawLLM，基于 Baichuan-13B 微调而得，具有法律推理和知识检索能力。
- **[Sunsimiao](https://github.com/thomas-yanxin/Sunsimiao)**: 孙思邈中文医疗大模型 Sumsimiao，基于 Baichuan-7B 和 ChatGLM-6B 在中文医疗数据上微调而得。
## 协议 ## 协议
本仓库的代码依照 [Apache-2.0](LICENSE) 协议开源。 本仓库的代码依照 [Apache-2.0](LICENSE) 协议开源。