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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
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| 2026-07-31 | 6718 |
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| 2026-10-31 | 6729 |
| 2026-11-02 | 6728 |
| 2026-11-04 | 6727 |
Today
-1 stars today
This week
+1 stars this week
This month
+1 stars this month
Momentum
0.0
growth rate 0.01%/day
<p align="left">
<a href="README_CN.md">中文</a>  ｜  English   ｜  <a href="README_JA.md">日本語</a> ｜  <a href="README_KO.md">한국어</a> 
</p>
<br><br>
<p align="center">
<img src="assets/logo.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-VL
<a href="https://huggingface.co/Qwen/Qwen-VL">🤗</a>
<a href="https://modelscope.cn/models/qwen/Qwen-VL/summary">🤖</a>  ｜
Qwen-VL-Chat
<a href="https://huggingface.co/Qwen/Qwen-VL-Chat">🤗</a>
<a href="https://modelscope.cn/models/qwen/Qwen-VL-Chat/summary">🤖</a> 
(Int4:
<a href="https://huggingface.co/Qwen/Qwen-VL-Chat-Int4">🤗</a>
<a href="https://modelscope.cn/models/qwen/Qwen-VL-Chat-Int4/summary">🤖</a> ) ｜
Qwen-VL-Plus
<a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Plus">🤗</a>
<a href="https://modelscope.cn/studios/qwen/Qwen-VL-Chat-Demo/summary">🤖</a>  ｜
Qwen-VL-Max
<a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Max">🤗</a>
<a href="https://modelscope.cn/studios/qwen/Qwen-VL-Max/summary">🤖</a> 
<br>
<a href="https://tongyi.aliyun.com/qianwen">Web</a>   |   
<a href="http://ofasys-wlcb.oss-accelerate-overseas.aliyuncs.com/QwenVL/blog/app_qrcode.jpg">APP</a>   |   
<a href="https://help.aliyun.com/zh/dashscope/developer-reference/vl-plus-quick-start">API</a>   |   
<a href="https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png">WeChat</a>   |   
<a href="https://discord.gg/CV4E9rpNSD">Discord</a>   |   
<a href="https://arxiv.org/abs/2308.12966">Paper</a>   |   
<a href="TUTORIAL.md">Tutorial</a>
</p>
<br><br>
---
## Qwen-VL-Plus & Qwen-VL-Max
Qwen-Vl-Plus and Qwen-VL-Max are the upgraded and latest versions of the Qwen-VL model family, currently supporting access for free through <a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Max">🤗</a>, <a href="https://modelscope.cn/studios/qwen/Qwen-VL-Max/summary">🤖</a>, [Web pages](https://qianwen.aliyun.com), [APP](http://ofasys-wlcb.oss-accelerate-overseas.aliyuncs.com/QwenVL/blog/app_qrcode.jpg) and [APIs](https://help.aliyun.com/zh/dashscope/developer-reference/vl-plus-quick-start/).
| Model name | Model description |
| --- | --- |
| Qwen-VL-Plus | Qwen's **Enhanced Large Visual Language Model**. Significantly upgraded for detailed recognition capabilities and text recognition abilities, supporting ultra-high pixel resolutions up to millions of pixels and extreme aspect ratios for image input. It delivers **significant** performance across a broad range of visual tasks. |
| Qwen-VL-Max | Qwen's **Most Capable Large Visual Language Model**. Compared to the enhanced version, further improvements have been made to visual reasoning and instruction-following capabilities, offering a higher level of visual perception and cognitive understanding. It delivers **optimal** performance on an even broader range of complex tasks. |
The key technical advancements in these versions include:
- Substantially boost in image-related **reasoning capabilities**;
- Considerable enhancement in recognizing, extracting, and analyzing **details of images**, especially for text-oriented tasks;
- Support for **high-definition images** with resolutions above one million pixels and extreme aspect ratios;
These two models not only significantly surpass all previous best results from open-source LVLM models, but also perform on par with Gemini Ultra and GPT-4V in multiple text-image multimodal tasks.
Notably, Qwen-VL-Max outperforms both GPT-4V from OpenAI and Gemini from Google in tasks on Chinese question answering and Chinese text comprehension. This breakthrough underscores the model’s advanced capabilities and its potential to set new standards in the field of multimodal AI research and application.
<table>
<thead>
<tr>
<th>Model</th>
<th>DocVQA</th>
<th>ChartQA</th>
<th>AI2D</th>
<th>TextVQA</th>
<Excerpt of 44,558 characters
Read on GitHub
Alibaba Group · China
35
Jinze Bai · Peking University
29
Shijie · DAMO Academy
19
18
Junyang Lin · China
17
Ikko Eltociear Ashimine · Japan
6
Sinan Tan
5
Yang An · Peking Univ. · China
2
Binyuan Hui · Formerly @ Qwen · Singapore
1
MinWoo(Daniel) Park · South Korea
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:30d7233c86f03af6, topic:vision-language-model, readme:multimodal, desc:vision-language
matched fp:30d7233c86f03af6, topic:large-language-models