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# <img width="60" alt="image" src="https://github.com/OpenGVLab/InternVL/assets/8529570/5aa4cda8-b453-40a0-9336-17012b430ae8"> InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks —— An Open-Source Alternative to ViT-22B
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# <img width="60" alt="image" src="https://github.com/OpenGVLab/InternVL/assets/8529570/5aa4cda8-b453-40a0-9336-17012b430ae8"> InternVL Family: Closing the Gap to Commercial Multimodal Models with Open-Source Suites —— A Pioneering Open-Source Alternative to GPT-4V
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\[[Update Blog](./BLOG.md)\] \[[Paper](https://arxiv.org/abs/2312.14238)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[Quick Start](#quick-start-with-huggingface)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)\]
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\[[Update Blog](./BLOG.md)\] \[[Paper](https://arxiv.org/abs/2312.14238)\] \[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[Quick Start](#quick-start-with-huggingface)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)\]
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## News🚀🚀🚀
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## Compared with SOTA VLLMs
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<img width="900" alt="image" src="https://github.com/OpenGVLab/InternVL/assets/23737120/519f3edb-951a-4ddb-9ace-31add081faad">
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<br>
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<br>
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<img width="1229" alt="image" src="https://github.com/OpenGVLab/InternVL/assets/23737120/dd43bb52-2fb2-4532-b9b9-c33761437ca9">
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<img width="1229" alt="image" src="https://github.com/OpenGVLab/InternVL/assets/23737120/e9065a58-86fa-47ef-be9a-eb734532e73f">
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## What is InternVL?
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```shell
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# OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path ./path/to/InternVL-Chat-ViT-6B-Vicuna-7B
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
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# OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40001 --worker http://localhost:40001 --model-path ./path/to/InternVL-Chat-ViT-6B-Vicuna-13B
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40001 --worker http://localhost:40001 --model-path OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B
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# OpenGVLab/InternVL-Chat-V1-1
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40002 --worker http://localhost:40002 --model-path ./path/to/InternVL-Chat-V1-1
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40002 --worker http://localhost:40002 --model-path OpenGVLab/InternVL-Chat-V1-1
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# OpenGVLab/InternVL-Chat-V1-2
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40003 --worker http://localhost:40003 --model-path ./path/to/InternVL-Chat-V1-2
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40003 --worker http://localhost:40003 --model-path OpenGVLab/InternVL-Chat-V1-2
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# OpenGVLab/InternVL-Chat-V1-2-Plus
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40004 --worker http://localhost:40004 --model-path ./path/to/InternVL-Chat-V1-2-Plus
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```
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40004 --worker http://localhost:40004 --model-path OpenGVLab/InternVL-Chat-V1-2-Plus
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# OpenGVLab/InternVL-Chat-V1-5
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40005 --worker http://localhost:40005 --model-path OpenGVLab/InternVL-Chat-V1-5
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```
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</details>
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## Schedule

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