LLaVA-Video
Collection
Models focus on video understanding (previously known as LLaVA-NeXT-Video).
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8 items
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Updated
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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.
This model is the one mentioned in:https://llava-vl.github.io/blog/2024-04-30-llava-next-video/
Base LLM: lmsys/vicuna-7b-v1.5
Model date:
LLaVA-Next-Video-7B was trained in April 2024.
Paper or resources for more information:
https://github.com/LLaVA-VL/LLaVA-NeXT
License
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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.
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