[assets] update readme (#8288)
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README_zh.md
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README_zh.md
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[](https://github.com/hiyouga/LLaMA-Factory/graphs/contributors)
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[](https://github.com/hiyouga/LLaMA-Factory/actions/workflows/tests.yml)
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[](https://pypi.org/project/llamafactory/)
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[](https://scholar.google.com/scholar?cites=12620864006390196564)
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[](https://scholar.google.com/scholar?cites=12620864006390196564)
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[](https://hub.docker.com/r/hiyouga/llamafactory/tags)
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[](https://twitter.com/llamafactory_ai)
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[](https://colab.research.google.com/drive/1d5KQtbemerlSDSxZIfAaWXhKr30QypiK?usp=sharing)
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[](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory)
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[](https://docs.alayanew.com/docs/documents/newActivities/llamafactory/?utm_source=LLaMA-Factory)
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[](https://huggingface.co/spaces/hiyouga/LLaMA-Board)
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[](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
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[](https://novita.ai/templates-library/105981?sharer=88115474-394e-4bda-968e-b88e123d0c47)
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</div>
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👋 加入我们的[微信群](assets/wechat.jpg)或 [NPU 用户群](assets/wechat_npu.jpg)。
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👋 加入我们的[微信群](assets/wechat.jpg)、[NPU 用户群](assets/wechat_npu.jpg)或 [Alaya NeW 算力优惠群](assets/wechat_alaya.png)。
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\[ [English](README.md) | 中文 \]
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- **Colab(免费)**:https://colab.research.google.com/drive/1d5KQtbemerlSDSxZIfAaWXhKr30QypiK?usp=sharing
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- **本地机器**:请见[如何使用](#如何使用)
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- **PAI-DSW(免费试用)**:https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory
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- **Alaya NeW(优惠活动)**:https://docs.alayanew.com/docs/documents/newActivities/llamafactory/?utm_source=LLaMA-Factory
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> [!NOTE]
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> 除上述链接以外的其他网站均为未经许可的第三方网站,请小心甄别。
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## 官方博客
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- [使用 LLaMA-Factory 微调 Qwen2.5-VL 实现自动驾驶场景微调](https://docs.alayanew.com/docs/documents/useGuide/LLaMAFactory/mutiple/?utm_source=LLaMA-Factory)(中文)
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- [通过亚马逊 SageMaker HyperPod 上的 LLaMA-Factory 增强多模态模型银行文档的视觉信息提取](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/)(英文)
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- [Easy Dataset × LLaMA Factory: 让大模型高效学习领域知识](https://buaa-act.feishu.cn/wiki/KY9xwTGs1iqHrRkjXBwcZP9WnL9)(中文)
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- [LLaMA Factory:微调 DeepSeek-R1-Distill-Qwen-7B 模型实现新闻标题分类器](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory_deepseek_r1_distill_7b)(中文)
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<details><summary>全部博客</summary>
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- [LLaMA Factory:微调 DeepSeek-R1-Distill-Qwen-7B 模型实现新闻标题分类器](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory_deepseek_r1_distill_7b)(中文)
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- [基于 Amazon SageMaker 和 LLaMA-Factory 打造一站式无代码模型微调部署平台 Model Hub](https://aws.amazon.com/cn/blogs/china/a-one-stop-code-free-model-fine-tuning-deployment-platform-based-on-sagemaker-and-llama-factory/)(中文)
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- [LLaMA Factory 多模态微调实践:微调 Qwen2-VL 构建文旅大模型](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory_qwen2vl)(中文)
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- [LLaMA Factory:微调LLaMA3模型实现角色扮演](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory)(中文)
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- [DPO mixed (en&zh)](https://huggingface.co/datasets/hiyouga/DPO-En-Zh-20k)
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- [UltraFeedback (en)](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized)
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- [COIG-P (en&zh)](https://huggingface.co/datasets/m-a-p/COIG-P)
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- [COIG-P (zh)](https://huggingface.co/datasets/m-a-p/COIG-P)
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- [RLHF-V (en)](https://huggingface.co/datasets/openbmb/RLHF-V-Dataset)
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- [VLFeedback (en)](https://huggingface.co/datasets/Zhihui/VLFeedback)
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- [RLAIF-V (en)](https://huggingface.co/datasets/openbmb/RLAIF-V-Dataset)
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