VideoChat2 HD Stage4 Mistral 7B Hf
This modelcard aims to give the model info of 'MVBench: A Comprehensive Multi-modal Video Understanding Benchmark'.
Source du modèle
- Type
- Other
- Taille du fichier
- 1,40–4,66 GB
- Modèle de base
- mistralai/Mistral-7B-Instruct-v0.2
- Version
- vRevision 4c6f95d
- Mis à jour
- 15 sept. 2026
- Téléchargements
- 48
- Source
- Hugging Face
Description de la source
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
- Repository: VideoChat2
- Paper: 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}
}
Sources
1 source
Sources
1 sourceVérifié 21 août
Artefacts du modèle
4 artefacts
Artefacts du modèle
4 artefactsmodel-00001-of-00004.safetensors
safetensors · 4,63 GB · SHA-256 ecf6a804c5af…2e07 · Hugging Face
Téléchargermodel-00002-of-00004.safetensors
safetensors · 4,58 GB · SHA-256 bf5745ae7b32…0565 · Hugging Face
Téléchargermodel-00003-of-00004.safetensors
safetensors · 4,66 GB · SHA-256 475cbd791fe8…bc04 · Hugging Face
Téléchargermodel-00004-of-00004.safetensors
safetensors · 1,40 GB · SHA-256 7648e67deaaa…5d27 · Hugging Face
TéléchargerExtraits de sources
2 extraits
Extraits de sources
2 extraits--- 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
