Share4oReasoning/LLaVA-Reasoner-SFT-preview

LLaVA-Reasoner Model Card

Model details

Model type: LLaVA-Reasoner is an open-source image vision language model, fine-tuned from GPT4-o distilled chain-of-thought (CoT) reasoning data.

This model is the SFT-preview version.

Base LLM: Lin-Chen/open-llava-next-llama3-8b

Model date: Trained on Sep, 2024.

Paper or resources for more information:

Paper: https://arxiv.org/abs/2410.16198

Code: https://github.com/RifleZhang/LLaVA-Reasoner-DPO/tree/main

License

Lin-Chen/open-llava-next-llama3-8b license.

Where to send questions or comments about the model: https://github.com/RifleZhang/LLaVA-Reasoner-DPO/issues

Intended use

Primary intended uses: Image CoT reasoning

Primary intended users: Researchers in artificial intelligence, large multimodal model, etc.

Training dataset

ShareGPT4o-Reasoning dataset.

Evaluation

Follow https://github.com/RifleZhang/LLaVA-Reasoner-DPO/blob/main/README.md

citation

@article{zhang2024improve,
  title={Improve vision language model chain-of-thought reasoning},
  author={Zhang, Ruohong and Zhang, Bowen and Li, Yanghao and Zhang, Haotian and Sun, Zhiqing and Gan, Zhe and Yang, Yinfei and Pang, Ruoming and Yang, Yiming},
  journal={arXiv preprint arXiv:2410.16198},
  year={2024}
}