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prolongvid/prolongvid_7B
prolongvid_7B is a video-text-to-text model from prolongvid. Use it for the video-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
The ProLongVid-v1 models are 7B parameter models trained on ProLongViddata, based on our extended Qwen2.5 language model with a context window of 256K tokens.
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From the Hugging Face model README
The ProLongVid-v1 models are 7B parameter models trained on ProLongVid_data, based on our extended Qwen2.5 language model with a context window of 256K tokens.
We suggest using this model with up to 256 frames.
@inproceedings{wang2025prolongvid,
title={ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning},
author={Wang, Rui and Li, Bohao and Dai, Xiyang and Yang, Jianwei and Chen, Yi-Ling and Xing, Zhen and Yang, Yifan and Chen, Dongdong and Qiu, Xipeng and Wu, Zuxuan and others},
booktitle={EMNLP},
year={2025}
}