LLaVA-Next-Video Model Card
Model details
Model type: LLaVA-Next-Video is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data. Base LLM: NousResearch/Nous-Hermes-2-Yi-34B
Model date: LLaVA-Next-Video-34B was trained in April 2024.
Paper or resources for more information: https://github.com/LLaVA-VL/LLaVA-NeXT
License
NousResearch/Nous-Hermes-2-Yi-34B license.
Where to send questions or comments about the model
https://github.com/LLaVA-VL/LLaVA-NeXT/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
Image
- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
- 158K GPT-generated multimodal instruction-following data.
- 500K academic-task-oriented VQA data mixture.
- 50K GPT-4V data mixture.
- 40K ShareGPT data.
Video
- 100K VideoChatGPT-Instruct.
Evaluation dataset
A collection of 4 benchmarks, including 3 academic VQA benchmarks and 1 captioning benchmark.