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--- |
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inference: false |
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pipeline_tag: visual-question-answering |
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--- |
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# ShareGPT4V-7B Model Card |
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## Model details |
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**Model type:** |
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ShareGPT4V-7B is an open-source chatbot trained by fine-tuning CLP vision tower and LLaMA/Vicuna on GPT4-Vision-assisted [ShareGPT4V](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V) data and LLaVA instruction-tuning data. |
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**Model date:** |
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ShareGPT4V-7B was trained in Nov 2023. |
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**Paper or resources for more information:** |
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[[Project](https://ShareGPT4V.github.io/)] [[Paper](https://huggingface.co/papers/2311.12793)] [[Code](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V)] |
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## Usage |
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You can directly utilize this model as we provide in our [[repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V)]. Moreover, you can modify the architecture name from "Share4VLlamaForCausalLM" to "LLaVALlamaForCausalLM" and the model_type keyword from "share4v" to "llava" in our config file and seamlessly load our model in the [[LLaVA repository](https://github.com/haotian-liu/LLaVA)]. |
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## License |
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Llama 2 is licensed under the LLAMA 2 Community License, |
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Copyright (c) Meta Platforms, Inc. All Rights Reserved. |
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## Intended use |
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**Primary intended uses:** |
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The primary use of ShareGPT4V-7B is research on large multimodal models and chatbots. |
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**Primary intended users:** |
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The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |
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## Training dataset |
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- 1.2M high-quality image-text pairs, i.e., ShareGPT4V-PT data |
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- 100K GPT4-Vision-generated image-text pairs |
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- LLaVA instruction-tuning data |
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## Evaluation dataset |
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A collection of 11 benchmarks |
