llava-v1.5-13b-xtuner-pretrain is a LLaVA projector pretrained from Vicuna-13B-v1.5 and CLIP-ViT-Large-patch14-336 on LLaVA-Pretrain dataset by XTuner.
Fonte do modelo
Trecho da fonte
llava-v1.5-13b-xtuner-pretrain is a LLaVA projector pretrained from Vicuna-13B-v1.5 and CLIP-ViT-Large-patch14-336 on LLaVA-Pretrain dataset by XTuner.
Fontes
1 fonteVerificado 4 de set.
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos--- datasets: - liuhaotian/LLaVA-Pretrain 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-v1.5-13b-xtuner-pretrain is a LLaVA projector pretrained from [Vicuna-13B-v1.5](https://huggingface.co/lmsys/vicuna-13b-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). The fine-tuned LLaVA model can be found on [xtuner/llava-v1.5-13b-xtuner](https://huggingface.co/xtuner/llava-v1.5-13b-xtuner). ## 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: 17 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo xtuner/llava-v1.5-13b-xtuner-pretrain