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README.md
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---
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license: apache-2.0
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datasets:
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- lmms-lab/LLaVA-Video-178K
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[VideoRoPE: What Makes for Good Video Rotary Position Embedding?](https://arxiv.org/pdf/2502.05173)
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**Trained model:** Qwen2VL Vision Tower + Qwen2 Language Model
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**RoPE type:** TAD-RoPE
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To use this model, simply set `which_type='tad_rope'` and `scale_factor=1.0`.
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For more details, please refer to the [code implementation](https://github.com/Wiselnn570/VideoRoPE).
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