LLaVA-NeXT-Video-7B-DPO

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LLaVA-Next-Video Model Card

Model details

Model type: <br> 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/ <br> Base LLM: lmsys/vicuna-7b-v1.5

Model date: <br> LLaVA-Next-Video-7B-DPO was trained in April 2024.

Paper or resources for more information: <br> 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: <br> The primary use of LLaVA is research on large multimodal models and chatbots.

Primary intended users: <br> 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.
• 17k video preference data: https://huggingface.co/datasets/ShareGPTVideo/train_video_and_instruction

Evaluation dataset

A collection of 4 benchmarks, including 3 academic VQA benchmarks and 1 captioning benchmark.