PLLaVA Model Card

Model details

Model type: PLLaVA-7B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: llava-hf/llava-v1.6-vicuna-7b-hf

Model date: PLLaVA-7B was trained in April 2024.

Paper or resources for more information:

• github repo: https://github.com/magic-research/PLLaVA
• project page: https://pllava.github.io/
• paper link: https://arxiv.org/abs/2404.16994

License

llava-hf/llava-v1.6-vicuna-7b-hf license.

Where to send questions or comments about the model: https://github.com/magic-research/PLLaVA/issues

Intended use

Primary intended uses: The primary use of PLLaVA 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

Video-Instruct-Tuning data of OpenGVLab/VideoChat2-IT

Evaluation dataset

A collection of 6 benchmarks, including 5 VQA benchmarks and 1 recent benchmarks specifically proposed for Video-LMMs.