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  # HoVLE
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- [\[πŸ“œ HoVLE Paper\]]() [\[πŸš€ Quick Start\]](#quick-start)
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  <a id="radar"></a>
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  HoVLE significantly surpasses previous monolithic VLMs and demonstrates competitive performance with compositional VLMs. This work narrows the gap between monolithic and compositional VLMs, providing a promising direction for the development of monolithic VLMs.
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- This repository releases the HoVLE-HD model with 2.6B parameters. It is built upon [internlm2-chat-1_8b](https://huggingface.co/internlm/internlm2-chat-1_8b). By adopting high-definition images, HoVLE-HD demonstrates superior performance, especially on visual-question answering benchmarks. Please refer to [HoVLE](https://huggingface.co/OpenGVLab/HoVLE) for the standard version. For more details, please refer to our [paper]().
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  ## Model Details
 
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  # HoVLE
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+ [\[πŸ“œ HoVLE Paper\]](https://arxiv.org/pdf/2412.16158) [\[πŸš€ Quick Start\]](#quick-start)
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  <a id="radar"></a>
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  HoVLE significantly surpasses previous monolithic VLMs and demonstrates competitive performance with compositional VLMs. This work narrows the gap between monolithic and compositional VLMs, providing a promising direction for the development of monolithic VLMs.
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+ This repository releases the HoVLE-HD model with 2.6B parameters. It is built upon [internlm2-chat-1_8b](https://huggingface.co/internlm/internlm2-chat-1_8b). By adopting high-definition images, HoVLE-HD demonstrates superior performance, especially on visual-question answering benchmarks. Please refer to [HoVLE](https://huggingface.co/OpenGVLab/HoVLE) for the standard version. For more details, please refer to our [paper](https://arxiv.org/pdf/2412.16158).
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  ## Model Details