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hiyouga 2024-07-03 19:39:05 +08:00
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@ -610,7 +610,7 @@ If you have a project that should be incorporated, please contact via email or c
1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**: A multimodal large language model specialized in Chinese medical domain, based on LLaVA-1.5-7B. 1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**: A multimodal large language model specialized in Chinese medical domain, based on LLaVA-1.5-7B.
1. **[AutoRE](https://github.com/THUDM/AutoRE)**: A document-level relation extraction system based on large language models. 1. **[AutoRE](https://github.com/THUDM/AutoRE)**: A document-level relation extraction system based on large language models.
1. **[NVIDIA RTX AI Toolkit](https://github.com/NVIDIA/RTX-AI-Toolkit)**: SDKs for fine-tuning LLMs on Windows PC for NVIDIA RTX. 1. **[NVIDIA RTX AI Toolkit](https://github.com/NVIDIA/RTX-AI-Toolkit)**: SDKs for fine-tuning LLMs on Windows PC for NVIDIA RTX.
1. **[LazyLLM](https://github.com/LazyAGI/LazyLLM)**: Easyest and lazyest way for building multi-agent LLMs applications with further finetuning which is supported by LLaMA-Factory. 1. **[LazyLLM](https://github.com/LazyAGI/LazyLLM)**: An easy and lazy way for building multi-agent LLMs applications and supports model fine-tuning via LLaMA Factory.
</details> </details>

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[![GitHub Code License](https://img.shields.io/github/license/hiyouga/LLaMA-Factory)](LICENSE) [![GitHub Code License](https://img.shields.io/github/license/hiyouga/LLaMA-Factory)](LICENSE)
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[![Citation](https://img.shields.io/badge/citation-71-green)](#使用了-llama-factory-的项目) [![Citation](https://img.shields.io/badge/citation-72-green)](#使用了-llama-factory-的项目)
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@ -609,8 +609,8 @@ run_name: test_run # 可选
1. **[Luminia-13B-v3](https://huggingface.co/Nekochu/Luminia-13B-v3)**:一个用于生成 Stable Diffusion 提示词的大型语言模型。[[🤗Demo]](https://huggingface.co/spaces/Nekochu/Luminia-13B_SD_Prompt) 1. **[Luminia-13B-v3](https://huggingface.co/Nekochu/Luminia-13B-v3)**:一个用于生成 Stable Diffusion 提示词的大型语言模型。[[🤗Demo]](https://huggingface.co/spaces/Nekochu/Luminia-13B_SD_Prompt)
1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**:中文多模态医学大模型,基于 LLaVA-1.5-7B 在中文多模态医疗数据上微调而得。 1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**:中文多模态医学大模型,基于 LLaVA-1.5-7B 在中文多模态医疗数据上微调而得。
1. **[AutoRE](https://github.com/THUDM/AutoRE)**:基于大语言模型的文档级关系抽取系统。 1. **[AutoRE](https://github.com/THUDM/AutoRE)**:基于大语言模型的文档级关系抽取系统。
1. **[NVIDIA RTX AI Toolkit](https://github.com/NVIDIA/RTX-AI-Toolkit)**: 在 Windows 主机上利用英伟达 RTX 设备进行大型语言模型微调的开发包。 1. **[NVIDIA RTX AI Toolkit](https://github.com/NVIDIA/RTX-AI-Toolkit)**在 Windows 主机上利用英伟达 RTX 设备进行大型语言模型微调的开发包。
1. **[LazyLLM](https://github.com/LazyAGI/LazyLLM)**: 低代码构建多Agent大模型应用的开发工具基于LLaMA-Factory支持对用到的模型进行后续地微调. 1. **[LazyLLM](https://github.com/LazyAGI/LazyLLM)**:一个低代码构建多 Agent 大模型应用的开发工具,支持基于 LLaMA Factory 的模型微调.
</details> </details>