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update readme
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[](https://pypi.org/project/llmtuner/)
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[](https://github.com/hiyouga/LLaMA-Factory/pulls)
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[](https://discord.gg/c2EPEt5NU)
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[](https://huggingface.co/spaces/hiyouga/LLaMA-Board)
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👋 Join our [WeChat](assets/wechat.jpg).
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## LLaMA Board: A One-stop Web UI for Getting Started with LLaMA Factory
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Preview LLaMA Board at **[Hugging Face Space](https://huggingface.co/spaces/hiyouga/LLaMA-Board)**.
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Preview LLaMA Board at **[🤗 Spaces](https://huggingface.co/spaces/hiyouga/LLaMA-Board)**.
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Launch LLaMA Board via `CUDA_VISIBLE_DEVICES=0 python src/train_web.py`. (multiple GPUs are not supported yet)
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[](https://pypi.org/project/llmtuner/)
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[](https://github.com/hiyouga/LLaMA-Factory/pulls)
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[](https://discord.gg/c2EPEt5NU)
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[](https://huggingface.co/spaces/hiyouga/LLaMA-Board)
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👋 加入我们的[微信群](assets/wechat.jpg)。
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## LLaMA Board: 通过一站式网页界面快速上手 LLaMA Factory
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通过 **[Hugging Face Space](https://huggingface.co/spaces/hiyouga/LLaMA-Board)** 预览 LLaMA Board。
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通过 **[🤗 Spaces](https://huggingface.co/spaces/hiyouga/LLaMA-Board)** 预览 LLaMA Board。
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使用 `CUDA_VISIBLE_DEVICES=0 python src/train_web.py` 启动 LLaMA Board。(该界面目前仅支持单卡训练)
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使用 `CUDA_VISIBLE_DEVICES=0 python src/train_web.py` 启动 LLaMA Board。(该模式目前仅支持单卡训练)
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下面是使用单张 GPU 在 10 分钟内更改对话式大型语言模型自我认知的示例。
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