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- [ \[ 🆕 Blog\] ] ( https://internvl.github.io/blog/ ) [ \[ 🤔 FAQs\] ] ( https://internvl.readthedocs.io/en/latest/tutorials/faqs.html ) [ \[ 🗨️ Chat Demo\] ] ( https://internvl.opengvlab.com/ ) [ \[ 🤗 HF Demo\] ] ( https://huggingface.co/spaces/OpenGVLab/InternVL ) [ \[ 📖 Document\] ] ( https://internvl.readthedocs.io/en/latest/ ) [ \[ 🌐 API\] ] ( https://internvl.readthedocs.io/en/latest/get_started/internvl_chat_api.html ) [ \[ 🚀 Quick Start\] ] ( #quick-start-with-huggingface )
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+ [ \[ 🆕 Blog\] ] ( https://internvl.github.io/blog/ ) [ \[ 🤔 FAQs\] ] ( https://internvl.readthedocs.io/en/latest/tutorials/faqs.html ) [ \[ 🗨️ Chat Demo\] ] ( https://internvl.opengvlab.com/ ) [ \[ 🤗 HF Demo\] ] ( https://huggingface.co/spaces/OpenGVLab/InternVL ) [ \[ 📖 Document\] ] ( https://internvl.readthedocs.io/en/latest/ ) [ \[ 🌐 API\] ] ( https://internlm.intern-ai.org.cn/api/document ) [ \[ 🚀 Quick Start\] ] ( #quick-start-with-huggingface )
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[ \[ 🔥 InternVL2.5 Report\] ] ( https://huggingface.co/papers/2412.05271 ) [ \[ Mini-InternVL Paper\] ] ( https://arxiv.org/abs/2410.16261 ) [ \[ InternVL2 Blog\] ] ( https://internvl.github.io/blog/2024-07-02-InternVL-2.0/ ) [ \[ 📜 InternVL 1.5 Paper\] ] ( https://huggingface.co/papers/2404.16821 ) [ \[ 📜 InternVL 1.0 Paper\] ] ( https://huggingface.co/papers/2312.14238 )
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- ** Installation** : 🌱 [ Installation Guide] ( https://internvl.readthedocs.io/en/latest/get_started/installation.html ) | 📄 [ requirements.txt] ( ./requirements.txt )
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- ** Chat Data Format** : 📝 [ Meta File] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#meta-file ) | ✏️ [ Text] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#pure-text-data ) | 🖼️ [ Single-Image] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#single-image-data ) | 🖼️🖼️ [ Multi-Image] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#multi-image-data ) | 🎥 [ Video] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#video-data )
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- ** Local Chat Demo** : 🤖 [ Streamlit Demo] ( https://internvl.readthedocs.io/en/latest/get_started/local_chat_demo.html#streamlit-demo )
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- - ** InternVL-Chat API** : 🌐 [ InternVL2-Pro ] ( https://internvl.readthedocs.io/en/latest/get_started/internvl_chat_api.html#official- api-of-internvl2-pro )
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+ - ** InternVL-Chat API** : 🌐 [ InternVL2.5 API ] ( https://internlm.intern-ai.org.cn/ api/document )
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- ** Tutorials** : 🚀 [ Enhancing InternVL2 on COCO Caption Using LoRA Fine-Tuning] ( https://internvl.readthedocs.io/en/latest/tutorials/coco_caption_finetune.html )
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### 🏆 ** InternVL Family**
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- [ \[ 🆕 博客\] ] ( https://internvl.github.io/blog/ ) [ \[ 🤔 常见问题\] ] ( https://internvl.readthedocs.io/en/latest/tutorials/faqs.html ) [ \[ 🗨️ 对话Demo\] ] ( https://internvl.opengvlab.com/ ) [ \[ 🤗 HF Demo\] ] ( https://huggingface.co/spaces/OpenGVLab/InternVL ) [ \[ 📖 文档\] ] ( https://internvl.readthedocs.io/en/latest/ ) [ \[ 🌐 API\] ] ( https://internvl.readthedocs.io/en/latest/get_started/internvl_chat_api.html ) [ \[ 🚀 快速开始\] ] ( #使用-huggingface-快速开始 )
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+ [ \[ 🆕 博客\] ] ( https://internvl.github.io/blog/ ) [ \[ 🤔 常见问题\] ] ( https://internvl.readthedocs.io/en/latest/tutorials/faqs.html ) [ \[ 🗨️ 对话Demo\] ] ( https://internvl.opengvlab.com/ ) [ \[ 🤗 HF Demo\] ] ( https://huggingface.co/spaces/OpenGVLab/InternVL ) [ \[ 📖 文档\] ] ( https://internvl.readthedocs.io/en/latest/ ) [ \[ 🌐 API\] ] ( https://internlm.intern-ai.org.cn/api/document ) [ \[ 🚀 快速开始\] ] ( #使用-huggingface-快速开始 )
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[ \[ 📜 InternVL 2.5 报告\] ] ( https://huggingface.co/papers/2412.05271 ) [ \[ 🔥 Mini-InternVL 论文\] ] ( https://arxiv.org/abs/2410.16261 ) [ \[ 🚀 InternVL2 博客\] ] ( https://internvl.github.io/blog/2024-07-02-InternVL-2.0/ ) [ \[ 📜 InternVL 1.5 论文\] ] ( https://huggingface.co/papers/2404.16821 ) [ \[ 📜 InternVL 1.0 论文\] ] ( https://huggingface.co/papers/2312.14238 )
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- ` 2024/08/01 ` : [ Chartmimic] ( https://chartmimic.github.io/ ) 团队在他们的基准测试中评估了 InternVL2 系列模型。InternVL2-26B 和 76B 模型在开源模型中取得了前两名的成绩,其中 InternVL2-Llama3-76B 模型超过了 GeminiProVision,并表现出与 Claude-3-opus 相当的结果。
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- ` 2024/08/01 ` : InternVL2-Pro 在 [ CharXiv] ( https://charxiv.github.io/#leaderboard ) 数据集中实现了开源模型中的 SOTA 性能,也比部分知名闭源模型如 GPT-4V、Gemini 1.5 Flash、Claude 3 Sonnet 取得了更好成绩
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- ` 2024/07/24 ` : [ MLVU] ( https://github.com/JUNJIE99/MLVU ) 团队在它们的基准测试中评估了InternVL-1.5。在多项选择任务上的平均表现为50.4%,而在生成任务上的表现为4.02。多项选择任务的表现在所有开源多模态大语言模型中排名第一。
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- - ` 2024/07/04 ` : 我们发布了 InternVL2 系列模型。InternVL2-Pro 在 MMMU 基准测试中达到了 62.0% 的准确率,实现了与 GPT-4o 等领先闭源商业模型比肩的性能。该模型的免费 API 可以通过填写 ( [ 英文申请表 ] ( https://docs.google.com/forms/d/e/1FAIpQLSfMCzhPr1OOEKau_6jwTU0EiZMSFckDo-HMlc_hUudhF_97rw/viewform?usp=sf_link ) ) / ( [ 中文申请表 ] ( https://wj.qq.com/s2/14910502/25a4/ ) ) 来申请。其它模型可在 [ HF 链接] ( https://huggingface.co/collections/OpenGVLab/internvl-20-667d3961ab5eb12c7ed1463e ) 中下载。
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+ - ` 2024/07/04 ` : 我们发布了 InternVL2 系列模型。InternVL2-Pro 在 MMMU 基准测试中达到了 62.0% 的准确率,实现了与 GPT-4o 等领先闭源商业模型比肩的性能。模型权重可在 [ HF 链接] ( https://huggingface.co/collections/OpenGVLab/internvl-20-667d3961ab5eb12c7ed1463e ) 中下载。
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<details >
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<summary >更多</summary >
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- ** Installation** : 🌱 [ Installation Guide] ( https://internvl.readthedocs.io/en/latest/get_started/installation.html ) | 📄 [ requirements.txt] ( ./requirements.txt )
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- ** Chat Data Format** : 📝 [ Meta File] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#meta-file ) | ✏️ [ Text] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#pure-text-data ) | 🖼️ [ Single-Image] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#single-image-data ) | 🖼️🖼️ [ Multi-Image] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#multi-image-data ) | 🎥 [ Video] ( https://internvl.readthedocs.io/en/latest/get_started/chat_data_format.html#video-data )
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- ** Local Chat Demo** : 🤖 [ Streamlit Demo] ( https://internvl.readthedocs.io/en/latest/get_started/local_chat_demo.html#streamlit-demo )
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- - ** InternVL-Chat API** : 🌐 [ InternVL2-Pro ] ( https://internvl.readthedocs.io/en/latest/get_started/internvl_chat_api.html#official- api-of-internvl2-pro )
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+ - ** InternVL-Chat API** : 🌐 [ InternVL2.5 API ] ( https://internlm.intern-ai.org.cn/ api/document )
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- ** Tutorials** : 🚀 [ Enhancing InternVL2 on COCO Caption Using LoRA Fine-Tuning] ( https://internvl.readthedocs.io/en/latest/tutorials/coco_caption_finetune.html )
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### 🏆 ** InternVL Family**
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