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README.md

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-inference: false
-license: llama2
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-<br>
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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.
-<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.