---
inference: false
pipeline_tag: image-text-to-text
license: apache-2.0
datasets:
- Zery/BS-Objaverse
- Lin-Chen/ShareGPT4V
language:
- en
---
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# MV-LLaVA-7B Model Card

## Model details

**Model type:**
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.

**Model date:**
MV-LLaVA-7B was trained in Apr, 2024.

**Paper or resources for more information:**
[[Project](https://sunzey.github.io/Bootstrap3D/)] [[Paper](https://huggingface.co/papers/2406.00093)] [[Code](https://github.com/SunzeY/Bootstrap3D)]

## Usage
You can directly utilize this model as we provide in our [[repository](https://github.com/SunzeY/Bootstrap3D/tree/main/MV_LLaVA)].
## License
Llama 2 is licensed under the LLAMA 2 Community License, 
Copyright (c) Meta Platforms, Inc. All Rights Reserved.
## Intended use
**Primary intended uses:**
The primary use of ShareGPT4V-7B is research on large multimodal models and chatbots for 3D content.
**Primary intended users:**
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
## Training dataset
- 1.2M ShareGPT4V-PT data
- 30K GPT4-Vision-generated multi-view image-text pairs
- LLaVA instruction-tuning data