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datasets:
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- Zery/BS-Objaverse
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- Lin-Chen/ShareGPT4V
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language:
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- en
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pipeline_tag: image-text-to-text
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inference: false
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pipeline_tag: image-text-to-text
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---
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<br>
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<br>
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# ShareGPT4V-7B Model Card
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## Model details
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**Model type:**
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MV-LLaVA-7B is an open-source chatbot for 3D multi-view images trained by fine-tuning CLIP vision tower and LLaMA/Vicuna on GPT4-Vision-assisted [BS-Objaverse](https://huggingface.co/datasets/Zery/BS-Objaverse) data and [ShareGPT4V](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V) data.
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**Model date:**
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MV-LLaVA-7B was trained in Apr, 2024.
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**Paper or resources for more information:**
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[[Project](https://sunzey.github.io/Bootstrap3D/)] [[Paper](https://huggingface.co/papers/2311.12793)] [[Code](https://github.com/SunzeY/Bootstrap3D)]
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## Usage
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You can directly utilize this model as we provide in our [[repository](https://github.com/SunzeY/Bootstrap3D/tree/main/MV_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 for 3D content.
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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 ShareGPT4V-PT data
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- 30K GPT4-Vision-generated multi-view image-text pairs
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- LLaVA instruction-tuning data
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