Llava Phi 3 Mini Pretrain

--- datasets: - Lin-Chen/ShareGPT4V pipeline_tag: visual-question-answering --- <div align="center"> <img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/> [](https://github.com/InternLM/xtuner) </div> ## Model llava-phi-3-mini-pretrain is a LLaVA projector pretrained from [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) and [CLIP-ViT-Large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on [ShareGPT4V-PT](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V/blob/main/share-captioner_coco_lcs_sam_1246k_1107.json) dataset by [XTuner](https://github.com/InternLM/xtuner). The fine-tuned LLaVA model can be found on [xtuner/llava-phi-3-mini](https://huggingface.co/xtuner/llava-phi-3-mini). ## Citation ```bibtex @misc{2023xtuner, title={XTuner: A Toolkit for Efficiently Fine-tuning LLM}, author={XTuner Contributors}, howpublished = {\url{https://github.com/InternLM/xtuner}}, year={2023} } ```

Source context: 15 downloads · 2 likes · Pipeline visual-question-answering · Library transformers · Repo xtuner/llava-phi-3-mini-pretrain