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README.md
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# InternVL2_5-2B
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[\[π GitHub\]](https://github.com/OpenGVLab/InternVL) [\[
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[\[π¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[π€ HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[π Quick Start\]](#quick-start) [\[π Documents\]](https://internvl.readthedocs.io/en/latest/)
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<div align="center">
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<img width="500" alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/64006c09330a45b03605bba3/zJsd2hqd3EevgXo6fNgC-.png">
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If you find this project useful in your research, please consider citing:
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```BibTeX
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@article{gao2024mini,
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title={Mini-internvl: A flexible-transfer pocket multimodal model with 5\% parameters and 90\% performance},
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author={Gao, Zhangwei and Chen, Zhe and Cui, Erfei and Ren, Yiming and Wang, Weiyun and Zhu, Jinguo and Tian, Hao and Ye, Shenglong and He, Junjun and Zhu, Xizhou and others},
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journal={arXiv preprint arXiv:2404.16821},
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year={2024}
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}
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@
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title={
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author={Chen, Zhe and Wu, Jiannan and Wang, Wenhai and Su, Weijie and Chen, Guo and Xing, Sen and Zhong, Muyan and Zhang, Qinglong and Zhu, Xizhou and Lu, Lewei and
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}
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```
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# InternVL2_5-2B
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[\[π GitHub\]](https://github.com/OpenGVLab/InternVL) [\[π InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[π InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[π Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[π InternVL 2.5\]](https://huggingface.co/papers/2412.05271)
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[\[π Blog\]](https://internvl.github.io/blog/) [\[π¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[π€ HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[π Quick Start\]](#quick-start) [\[π Documents\]](https://internvl.readthedocs.io/en/latest/)
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<div align="center">
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<img width="500" alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/64006c09330a45b03605bba3/zJsd2hqd3EevgXo6fNgC-.png">
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If you find this project useful in your research, please consider citing:
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```BibTeX
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@article{chen2024expanding,
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title={Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling},
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author={Chen, Zhe and Wang, Weiyun and Cao, Yue and Liu, Yangzhou and Gao, Zhangwei and Cui, Erfei and Zhu, Jinguo and Ye, Shenglong and Tian, Hao and Liu, Zhaoyang and others},
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journal={arXiv preprint arXiv:2412.05271},
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year={2024}
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}
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@article{gao2024mini,
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title={Mini-internvl: A flexible-transfer pocket multimodal model with 5\% parameters and 90\% performance},
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author={Gao, Zhangwei and Chen, Zhe and Cui, Erfei and Ren, Yiming and Wang, Weiyun and Zhu, Jinguo and Tian, Hao and Ye, Shenglong and He, Junjun and Zhu, Xizhou and others},
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journal={arXiv preprint arXiv:2404.16821},
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year={2024}
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}
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@inproceedings{chen2024internvl,
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title={Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks},
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author={Chen, Zhe and Wu, Jiannan and Wang, Wenhai and Su, Weijie and Chen, Guo and Xing, Sen and Zhong, Muyan and Zhang, Qinglong and Zhu, Xizhou and Lu, Lewei and others},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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pages={24185--24198},
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year={2024}
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}
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```
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