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+ ---
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+ datasets:
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+ - liuhaotian/LLaVA-Pretrain
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+ pipeline_tag: visual-question-answering
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+ ---
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+
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+ <div align="center">
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+ <img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
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+
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+
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+ [![Generic badge](https://img.shields.io/badge/GitHub-%20XTuner-black.svg)](https://github.com/InternLM/xtuner)
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+
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+
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+ </div>
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+
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+ ## Model
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+
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+ llava-v1.5-7b-xtuner-pretrain is a LLaVA projector pretrained from [Vicuna-v1.5-7B](https://huggingface.co/lmsys/vicuna-7b-v1.5) and [CLIP-ViT-Large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) dataset by [XTuner](https://github.com/InternLM/xtuner).
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+
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+ The fine-tuned LLaVA model can be found on [xtuner/llava-v1.5-7b-xtuner](https://huggingface.co/xtuner/llava-v1.5-7b-xtuner).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{2023xtuner,
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+ title={XTuner: A Toolkit for Efficiently Fine-tuning LLM},
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+ author={XTuner Contributors},
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+ howpublished = {\url{https://github.com/InternLM/xtuner}},
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+ year={2023}
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+ }
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+ ```