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@@ -12,10 +12,14 @@ pipeline_tag: image-feature-extraction
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  # InternVL-14B-224px
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- [\[πŸ“‚ GitHub\]](https://github.com/OpenGVLab/InternVL) [\[πŸ†• Blog\]](https://internvl.github.io/blog/) [\[πŸ“œ InternVL 1.0 Paper\]](https://arxiv.org/abs/2312.14238) [\[πŸ“œ InternVL 1.5 Report\]](https://arxiv.org/abs/2404.16821)
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  [\[πŸ—¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[πŸ€— HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[πŸš€ Quick Start\]](#quick-start) [\[πŸ“– 中文解读\]](https://zhuanlan.zhihu.com/p/706547971) [\[πŸ“– Documents\]](https://internvl.readthedocs.io/en/latest/)
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  ## Model Details
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  - **Model Type:** vision-language foundation model
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  - **Support Tasks:** zero-shot image/video classification, image-text/video retrieval, image captioning
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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{chen2023internvl,
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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 Li, Bin and Luo, Ping and Lu, Tong and Qiao, Yu and Dai, Jifeng},
 
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  # InternVL-14B-224px
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+ [\[πŸ“‚ GitHub\]](https://github.com/OpenGVLab/InternVL) [\[πŸ†• Blog\]](https://internvl.github.io/blog/) [\[πŸ“œ InternVL 1.0\]](https://arxiv.org/abs/2312.14238) [\[πŸ“œ InternVL 1.5\]](https://arxiv.org/abs/2404.16821) [\[πŸ“œ Mini-InternVL\]](https://arxiv.org/abs/2410.16261)
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  [\[πŸ—¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[πŸ€— HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[πŸš€ Quick Start\]](#quick-start) [\[πŸ“– 中文解读\]](https://zhuanlan.zhihu.com/p/706547971) [\[πŸ“– Documents\]](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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+ </div>
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+
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  ## Model Details
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  - **Model Type:** vision-language foundation model
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  - **Support Tasks:** zero-shot image/video classification, image-text/video retrieval, image captioning
 
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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:2410.16261},
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+ year={2024}
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+ }
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  @article{chen2023internvl,
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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 Li, Bin and Luo, Ping and Lu, Tong and Qiao, Yu and Dai, Jifeng},