license: cc-by-nc-4.0
tags:
- medical
NOTE: This "delta model" cannot be used directly. Users have to apply it on top of the original LLaMA weights to get actual LLaVA weights.
LLaVA-Med: Large Language and Vision Assistant for BioMedicine
Visual instruction tuning towards buiding large language and vision models with GPT-4 level capabilities in the biomedicine space.
[Paper, NeurIPS 2023 Datasets and Benchmarks Track (Spotlight)]
Chunyuan Li*, Cliff Wong*, Sheng Zhang*, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao (*Equal Contribution)
Generated by GLIGEN using the grounded inpainting mode, with three boxes: white doctor coat, stethoscope, white doctor hat with a red cross sign.
LLaVA-Med was initialized with the general-domain LLaVA and then continuously trained in a curriculum learning fashion (first biomedical concept alignment then full-blown instruction-tuning). We evaluated LLaVA-Med on standard visual conversation and question answering tasks.
Usage and License Notices: The data, code, and model checkpoints are intended and licensed for research use only. They are also subject to additional restrictions dictated by the Terms of Use: LLaMA, Vicuna and GPT-4 respectively. The data is made available under CC BY NC 4.0. The data, code, and model checkpoints may be used for non-commercial purposes and any models trained using the dataset should be used only for research purposes. It is expressly prohibited for models trained on this data to be used in clinical care or for any clinical decision making purposes.