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  > _Two interns holding hands, symbolizing the integration of InternViT and InternLM._
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- \[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\] \[[CVPR Paper](https://arxiv.org/abs/2312.14238)\] \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)\]
 
 
 
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  We introduce InternVL 1.5, an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding.
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  We introduce three simple designs:
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  | Model | Vision Foundation Model | Release Date | Note |
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  | :----------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | :----------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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- | InternVL-Chat-V1.5(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5)) | InternViT-6B-448px-V1-5(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5)) | 2024.04.18 | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (πŸ”₯new) |
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- | InternVL-Chat-V1.2-Plus(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2-Plus) ) | InternViT-6B-448px-V1-2(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) | 2024.02.21 | more SFT data and stronger |
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- | InternVL-Chat-V1.2(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) ) | InternViT-6B-448px-V1-2(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) | 2024.02.11 | scaling up LLM to 34B |
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- | InternVL-Chat-V1.1(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1)) | InternViT-6B-448px-V1-0(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0)) | 2024.01.24 | support Chinese and stronger OCR |
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  ## Architecture
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  ## Model Usage
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- We provide an example code to run InternVL-Chat-V1.5 using `transformers`.
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  You can also use our [online demo](https://internvl.opengvlab.com/) for a quick experience of this model.
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  > _Two interns holding hands, symbolizing the integration of InternViT and InternLM._
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+ [\[πŸ†• Blog\]](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) [\[πŸ—¨οΈ Chat Demo\]](https://internvl.opengvlab.com/)
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+ [\[πŸ€— HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[πŸš€ Quick Start\]](#model-usage) [\[🌐 Community-hosted API\]](https://rapidapi.com/adushar1320/api/internvl-chat) [\[πŸ“– 中文解读\]](https://zhuanlan.zhihu.com/p/675877376)
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  We introduce InternVL 1.5, an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding.
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  We introduce three simple designs:
 
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  | Model | Vision Foundation Model | Release Date | Note |
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  | :----------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | :----------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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+ | InternVL-Chat-V1-5(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5)) | InternViT-6B-448px-V1-5(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5)) | 2024.04.18 | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (πŸ”₯new) |
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+ | InternVL-Chat-V1-2-Plus(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2-Plus) ) | InternViT-6B-448px-V1-2(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) | 2024.02.21 | more SFT data and stronger |
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+ | InternVL-Chat-V1-2(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) ) | InternViT-6B-448px-V1-2(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) | 2024.02.11 | scaling up LLM to 34B |
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+ | InternVL-Chat-V1-1(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1)) | InternViT-6B-448px-V1-0(πŸ€— [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0)) | 2024.01.24 | support Chinese and stronger OCR |
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  ## Architecture
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  ## Model Usage
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+ We provide an example code to run InternVL-Chat-V1-5 using `transformers`.
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  You can also use our [online demo](https://internvl.opengvlab.com/) for a quick experience of this model.
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