---
title: Q-Insight
canonical_url: "https://www.modelscope.cn/models/bytedance-community/Q-Insight"
md_url: "https://www.modelscope.cn/models/bytedance-community/Q-Insight.md"
repository: bytedance-community/Q-Insight
last_updated: 2026-06-05
license: apache-2.0
base_model:
  - Qwen/Qwen2.5-VL-7B-Instruct
base_model_relation: finetune
parameters: 33.6B
tensor_type:
  - BF16
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 61
stars: 0
tags:
  - IQA
  - VQA
  - AIGC
---

# Q-Insight

> Q-Insight - bytedance-community 在 ModelScope 开源的模型。Model Description This is a huggingface model card for Q-Insight family 👋

bytedance-community/Q-Insight 是 ModelScope 魔搭社区上的 33.6B 参数机器学习模型，采用 apache-2.0 许可，基于 Qwen/Qwen2.5-VL-7B-Instruct 构建。

- **Repository**: bytedance-community/Q-Insight
- **License**: apache-2.0
- **Parameters**: 33.6B
- **Base model**: Qwen/Qwen2.5-VL-7B-Instruct
- **Tags**: IQA, VQA, AIGC
- **Downloads**: 61
- **Stars**: 0
- **Last updated**: 2026-06-05

Source: https://www.modelscope.cn/models/bytedance-community/Q-Insight

---

## Model Description
This is a huggingface model card for Q-Insight family 👋

- Q-Insight paper: https://arxiv.org/pdf/2503.22679
- VQ-Insight paper: https://arxiv.org/pdf/2506.18564
- RALI paper: https://arxiv.org/pdf/2510.11369
- Code: https://github.com/bytedance/Q-Insight

## License
This project is licensed under the Apache-2.0 License. It is finetuned from [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) under Apache-2.0.

## Citation
If you find the code helpful in your research or work, please cite the following papers:
```
@inproceedings{li2025qinsight,
  title={Q-insight: Understanding image quality via visual reinforcement learning},
  author={Li, Weiqi and Zhang, Xuanyu and Zhao, Shijie and Zhang, Yabin and Li, Junlin and Zhang, Li and Zhang, Jian},
  booktitle={Advances in Neural Information Processing Systems},
  year={2025}
}
```
```
@inproceedings{zhang2025vqinsight,
  title={VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning},
  author={Zhang, Xuanyu and Li, Weiqi and Zhao, Shijie and Li, Junlin and Zhang, Li and Zhang, Jian},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  year={2026}
}
```
```
@inproceedings{zhao2025reasoning,
  title={Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment},
  author={Zhao, Shijie and Zhang, Xuanyu and Li, Weiqi and Li, Junlin and Zhang, Li and Xue, Tianfan and Zhang, Jian},
  booktitle={Proceedings of the International Conference on Learning Representations (ICLR)},
  year={2026}
}
```