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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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+ ---
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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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+
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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).