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README.md
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# LLaVA-Video-72B-Qwen2
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## Table of Contents
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## Model Summary
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The LLaVA-Video models are 7/72B parameter models trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Video-SFT-Data), based on Qwen2 language model with a context window of 32K tokens.
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- **Repository:** [LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT?tab=readme-ov-file)
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- **Point of Contact:** [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/)
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### Intended use
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The model was trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Video-SFT-Data) and have the ability to interact with images, multi-image and videos, but specific to videos.
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**Feel free to share your generations in the Community tab!**
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# LLaVA-NeXT-Video-72B-Qwen2
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## Table of Contents
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## Model Summary
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The LLaVA-NeXT-Video models are 7/72B parameter models trained on [LLaVA-NeXT-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Video-SFT-Data), based on Qwen2 language model with a context window of 32K tokens.
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- **Repository:** [LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT?tab=readme-ov-file)
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- **Point of Contact:** [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/)
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### Intended use
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The model was trained on [LLaVA-NeXT-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Video-SFT-Data) and have the ability to interact with images, multi-image and videos, but specific to videos.
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**Feel free to share your generations in the Community tab!**
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