license: apache-2.0
tags:
- video LLM
datasets:
- OpenGVLab/VideoChat2-IT
PLLaVA Model Card
Model details
Model type: PLLaVA-34B 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: liuhaotian/llava-v1.6-34b
Model date: PLLaVA-34B 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
NousResearch/Nous-Hermes-2-Yi-34B 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 Video QA benchmarks and 1 benchmarks specifically proposed for Video-LMMs.