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fyvri committed Jan 31, 2025
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<p>

<p align="center">
💜 <a href="https://chat.qwenlm.ai/"><b>Qwen Chat</b></a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/qwen">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://arxiv.org/abs/2412.15115">Paper</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qwenlm.github.io/blog/qwen2.5/">Blog</a> &nbsp&nbsp | &nbsp&nbsp📖 <a href="https://qwen.readthedocs.io/">Documentation</a>
💜 <a href="https://chat.qwenlm.ai/"><b>Qwen Chat</b></a>&nbsp;&nbsp; | &nbsp;&nbsp;🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a>&nbsp;&nbsp; | &nbsp;&nbsp;🤖 <a href="https://modelscope.cn/organization/qwen">ModelScope</a>&nbsp;&nbsp; | &nbsp;&nbsp; 📑 <a href="https://arxiv.org/abs/2412.15115">Paper</a> &nbsp;&nbsp; | &nbsp;&nbsp; 📑 <a href="https://qwenlm.github.io/blog/qwen2.5/">Blog</a> &nbsp;&nbsp; | &nbsp;&nbsp;📖 <a href="https://qwen.readthedocs.io/">Documentation</a>

<br>
💻 <a href="https://gallery.pai-ml.com/#/preview/deepLearning/nlp/qwen2-5_7b">PAI-DSW</a>&nbsp&nbsp | &nbsp&nbsp🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen2.5-72B-Instruct">Demo</a>&nbsp&nbsp | &nbsp&nbsp💬 <a href="https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png">WeChat (微信)</a>&nbsp&nbsp | &nbsp&nbsp🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>&nbsp&nbsp
💻 <a href="https://gallery.pai-ml.com/#/preview/deepLearning/nlp/qwen2-5_7b">PAI-DSW</a>&nbsp;&nbsp; | &nbsp;&nbsp;🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen2.5-72B-Instruct">Demo</a>&nbsp;&nbsp; | &nbsp;&nbsp;💬 <a href="https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png">WeChat (微信)</a>&nbsp;&nbsp; | &nbsp;&nbsp;🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>
</p>


Visit our Hugging Face or ModelScope organization (click links above), search checkpoints with names starting with `Qwen2.5-` or visit the [Qwen2.5 collection](https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e), and you will find all you need! Enjoy!

To learn more about Qwen2.5, feel free to read our documentation \[[EN](https://qwen.readthedocs.io/en/latest/)|[ZH](https://qwen.readthedocs.io/zh-cn/latest/)\]. Our documentation consists of the following sections:
To learn more about Qwen2.5, feel free to read our documentation [EN](https://qwen.readthedocs.io/en/latest/) | [ZH](https://qwen.readthedocs.io/zh-cn/latest/). Our documentation consists of the following sections:

- Quickstart: the basic usages and demonstrations;
- Inference: the guidance for the inference with transformers, including batch inference, streaming, etc.;
Expand All @@ -40,7 +40,7 @@ In the past three months since Qwen2's release, numerous developers have built n

- 2024.09.19: We released the Qwen2.5 series. This time there are 3 extra model sizes: 3B, 14B, and 32B for more possibilities. Check our [blog](https://qwenlm.github.io/blog/qwen2.5) for more!
- 2024.06.06: We released the Qwen2 series. Check our [blog](https://qwenlm.github.io/blog/qwen2/)!
- 2024.03.28: We released the first MoE model of Qwen: Qwen1.5-MoE-A2.7B! Temporarily, only HF transformers and vLLM support the model. We will soon add the support of llama.cpp, mlx-lm, etc. Check our [blog](https://qwenlm.github.io/blog/qwen-moe/) for more information!
- 2024.03.28: We released the first MoE model of Qwen: Qwen1.5-MoE-A2.7B! Currently, only HF transformers and vLLM support the model. We will soon add the support of llama.cpp, mlx-lm, etc. Check our [blog](https://qwenlm.github.io/blog/qwen-moe/) for more information!
- 2024.02.05: We released the Qwen1.5 series.

## Performance
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## Finetuning

We advise you to use training frameworks, including [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl), [Llama-Factory](https://github.com/hiyouga/LLaMA-Factory), [unsloth](https://github.com/unslothai/unsloth), [Swift](https://github.com/modelscope/swift), etc., to finetune your models with SFT, DPO, PPO, etc.
We recommend you to use training frameworks, including [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl), [Llama-Factory](https://github.com/hiyouga/LLaMA-Factory), [unsloth](https://github.com/unslothai/unsloth), [Swift](https://github.com/modelscope/swift), etc., to finetune your models with SFT, DPO, PPO, etc.


## License Agreement
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If you find our work helpful, feel free to give us a cite.

```
```BibTeX
@article{qwen2.5,
title = {Qwen2.5 Technical Report},
author = {An Yang and Baosong Yang and Beichen Zhang and Binyuan Hui and Bo Zheng and Bowen Yu and Chengyuan Li and Dayiheng Liu and Fei Huang and Haoran Wei and Huan Lin and Jian Yang and Jianhong Tu and Jianwei Zhang and Jianxin Yang and Jiaxi Yang and Jingren Zhou and Junyang Lin and Kai Dang and Keming Lu and Keqin Bao and Kexin Yang and Le Yu and Mei Li and Mingfeng Xue and Pei Zhang and Qin Zhu and Rui Men and Runji Lin and Tianhao Li and Tingyu Xia and Xingzhang Ren and Xuancheng Ren and Yang Fan and Yang Su and Yichang Zhang and Yu Wan and Yuqiong Liu and Zeyu Cui and Zhenru Zhang and Zihan Qiu},
Expand All @@ -303,4 +303,4 @@ If you find our work helpful, feel free to give us a cite.
```

## Contact Us
If you are interested to leave a message to either our research team or product team, join our [Discord](https://discord.gg/z3GAxXZ9Ce) or [WeChat groups](assets/wechat.png)!
If you are interested to leave a message to either our research team or product team, join our [Discord](https://discord.gg/z3GAxXZ9Ce) or [WeChat groups](https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png)!

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