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  **<center><span style="font-size:2em;">TinyLLaVA-Video-R1</span></center>**
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- [![arXiv](https://img.shields.io/badge/Arxiv-2402.14289-b31b1b.svg?logo=arXiv)](https://github.com/ZhangXJ199/TinyLLaVA-Video-R1)[![Github](https://img.shields.io/badge/Github-Github-blue.svg)](https://github.com/ZhangXJ199/TinyLLaVA-Video-R1)
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  This model is obtained by cold-starting [TinyLLaVA-Video](https://huggingface.co/Zhang199/TinyLLaVA-Video-Qwen2.5-3B-Group-16-512) with 16 manually annotated samples from the NextQA dataset. It serves as the base model for [TinyLLaVA-Video-R1](https://huggingface.co/Zhang199/TinyLLaVA-Video-R1).
 
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  **<center><span style="font-size:2em;">TinyLLaVA-Video-R1</span></center>**
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+ [![arXiv](https://img.shields.io/badge/Arxiv-2402.14289-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/2504.09641)[![Github](https://img.shields.io/badge/Github-Github-blue.svg)](https://github.com/ZhangXJ199/TinyLLaVA-Video-R1)
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  This model is obtained by cold-starting [TinyLLaVA-Video](https://huggingface.co/Zhang199/TinyLLaVA-Video-Qwen2.5-3B-Group-16-512) with 16 manually annotated samples from the NextQA dataset. It serves as the base model for [TinyLLaVA-Video-R1](https://huggingface.co/Zhang199/TinyLLaVA-Video-R1).