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\[[Paper](https://arxiv.org/abs/2312.14238)\] \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\]
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<img width="600" alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/GIEKCvNc1Y5iMQqLv645p.png">
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### Performance
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\[[Paper](https://arxiv.org/abs/2312.14238)\] \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\]
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InternVL-Chat-V1.2-Plus uses the same model structure as [InternVL-Chat-V1.2](https://huggingface.co/OpenGVLab/InternVL-Chat-Chinese-V1-2), but the difference lies in the dataset: while InternVL-Chat-V1.2 only utilizes an SFT dataset with 1.2M samples, our Plus version employs an SFT dataset with 12M samples.
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<img width="600" alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/GIEKCvNc1Y5iMQqLv645p.png">
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### Performance
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