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@@ -16,7 +16,7 @@ pipeline_tag: image-feature-extraction
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  [\[🗨️ Chat Demo\]](https://internvl.opengvlab.com/) [\[🤗 HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[🚀 Quick Start\]](#quick-start) [\[📖 Documents\]](https://internvl.readthedocs.io/en/latest/)
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- InternViT-6B has been updated
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  We develop InternViT-6B-448px-V2_5 based on the pre-training of the strong foundation of InternViT-6B-448px-V1-5. Through ViT Incremental Learning with NTP loss, the vision encoder has gained a stronger ability to extract visual features, allowing it to capture more comprehensive information—especially for domains that are relatively underrepresented in web-scale datasets (e.g., LAION-5B), such as multilingual OCR data and mathematical charts, among others.
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  <div align="center">
 
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  [\[🗨️ Chat Demo\]](https://internvl.opengvlab.com/) [\[🤗 HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[🚀 Quick Start\]](#quick-start) [\[📖 Documents\]](https://internvl.readthedocs.io/en/latest/)
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+ InternViT-6B has been updated.
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  We develop InternViT-6B-448px-V2_5 based on the pre-training of the strong foundation of InternViT-6B-448px-V1-5. Through ViT Incremental Learning with NTP loss, the vision encoder has gained a stronger ability to extract visual features, allowing it to capture more comprehensive information—especially for domains that are relatively underrepresented in web-scale datasets (e.g., LAION-5B), such as multilingual OCR data and mathematical charts, among others.
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  <div align="center">