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LLaVA Model Card

This is a pretrained checkpoint, you can use it to instruct tune your multimodal models.

Check out the instructions here

Model details

Model type: LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture.

Model date: LLaVA-Pretrain-LLaMA-2-7b-Chat was trained in July 2023.

Paper or resources for more information: https://llava-vl.github.io/

License

Non-commerical Use.

Where to send questions or comments about the model: https://github.com/haotian-liu/LLaVA/issues

Intended use

Primary intended uses: The primary use of LLaVA is research on large multimodal models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

Training dataset

  • 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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Inference Examples
Inference API (serverless) has been turned off for this model.