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VideoChat2 HD Stage4 Mistral 7B Hf

This modelcard aims to give the model info of 'MVBench: A Comprehensive Multi-modal Video Understanding Benchmark'.

ArtOtherBasismodellmistralai/Mistral-7B-Instruct-v0.2VersionRevision 4c6f95d

Modellquelle

Art
Other
Dateigröße
1,40–4,66 GB
Basismodell
mistralai/Mistral-7B-Instruct-v0.2
Version
vRevision 4c6f95d
Aktualisiert
15. Sept. 2026
Downloads
48
Quelle
Hugging Face

Quellenbeschreibung

Model Card for VideoChat2-HD-hf

This modelcard aims to give the model info of 'MVBench: A Comprehensive Multi-modal Video Understanding Benchmark'.

Model Details

🛠Usage

Check the Jupyter Demo.

📃Model Sources

✏️Citation

If you find this work useful for your research, please consider citing VideoChat2. Your acknowledgement would greatly help us in continuing to contribute resources to the research community.

@article{li2023videochat,
  title={VideoChat: Chat-Centric Video Understanding},
  author={KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao},
  journal={arXiv preprint arXiv:2305.06355},
  year={2023}
}

@misc{li2023mvbench,
      title={MVBench: A Comprehensive Multi-modal Video Understanding Benchmark}, 
      author={Kunchang Li and Yali Wang and Yinan He and Yizhuo Li and Yi Wang and Yi Liu and Zun Wang and Jilan Xu and Guo Chen and Ping Luo and Limin Wang and Yu Qiao},
      year={2023},
      eprint={2311.17005},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 4c6f95d83bdf2d36e9cf26b54304c66ae5cfeb92
huggingface.co/OpenGVLab/VideoChat2_HD_stage4_Mistral_7B_hf/tree/4c6f95d83bdf2d36e9cf26b54304c66ae5cfeb92

Verifiziert 21. Aug.

Modellartefakte

4 Artefakte

model-00001-of-00004.safetensors

safetensors · 4,63 GB · SHA-256 ecf6a804c5af…2e07 · Hugging Face

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model-00002-of-00004.safetensors

safetensors · 4,58 GB · SHA-256 bf5745ae7b32…0565 · Hugging Face

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model-00003-of-00004.safetensors

safetensors · 4,66 GB · SHA-256 475cbd791fe8…bc04 · Hugging Face

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model-00004-of-00004.safetensors

safetensors · 1,40 GB · SHA-256 7648e67deaaa…5d27 · Hugging Face

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Quellenauszüge

2 Auszüge

--- base_model: - mistralai/Mistral-7B-Instruct-v0.2 license: mit pipeline_tag: video-text-to-text --- # Model Card for VideoChat2-HD-hf This modelcard aims to give the model info of 'MVBench: A Comprehensive Multi-modal Video Understanding Benchmark'. ## Model Details ### 🛠Usage Check the [Jupyter Demo](https://huggingface.co/OpenGVLab/VideoChat2_HD_stage4_Mistral_7B_hf/blob/main/vc2_hd_hf.ipynb). ### 📃Model Sources - **Repository:** [VideoChat2](https://github.com/OpenGVLab/Ask-Anything/tree/main/video_chat22) - **Paper:** [2311.17005](https://arxiv.org/abs/2311.17005) ## ✏️Citation If you find this work useful for your research, please consider citing VideoChat2. Your acknowledgement would greatly help us in continuing to contribute resources to the research community. ``` @article{li2023videochat, title={VideoChat: Chat-Centric Video Understanding}, author={KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao}, journal={arXiv preprint arXiv:2305.06355}, year={2023} } @misc{li2023mvbench, title={MVBench: A Comprehensive Multi-modal Video Understanding Benchmark}, author={Kunchang Li and Yali Wang and Yinan He and Yizhuo Li and Yi Wang and Yi Liu and Zun Wang and Jilan Xu and Guo Chen and Ping Luo and Limin Wang and Yu Qiao}, year={2023}, eprint={2311.17005}, archivePrefix={arXiv}, primaryClass={cs.CV} } ```

Source context: 48 downloads · 3 likes · Pipeline video-text-to-text · Repo OpenGVLab/VideoChat2_HD_stage4_Mistral_7B_hf