Update paper link and clean up model card

#3
by nielsr HF Staff - opened
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  1. README.md +7 -11
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: mit
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  library_name: transformers
 
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  pipeline_tag: image-text-to-text
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  ---
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@@ -10,7 +10,7 @@ pipeline_tag: image-text-to-text
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  <img src="skywork-logo.png" alt="Introduction Image" width="500" height="400">
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  </div>
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- ## 📖 [Technical Report](https://github.com/SkyworkAI/Skywork-R1V/blob/main/Skywork_R1V.pdf) | 💻 [GitHub](https://github.com/SkyworkAI/Skywork-R1V) | 🌐 [Wisemodel](https://wisemodel.cn/models/Skywork/Skywork-R1V)
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  <div align="center">
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@@ -170,17 +170,16 @@ If you use this model in your research, please cite:
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  ```bibtex
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  @article{skywork2025r1v,
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- title = {Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought},
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  author = {Yi Peng, Chris, Xiaokun Wang, Yichen Wei, Jiangbo Pei, Weijie Qiu, Ai Jian, Yunzhuo Hao, Jiachun Pan, Tianyidan Xie, Li Ge, Rongxian Zhuang, Xuchen Song, Yang Liu, Yahui Zhou},
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  year = {2025},
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- journal = {https://github.com/SkyworkAI/Skywork-R1V/blob/main/report/Skywork_R1V.pdf},
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- url = {https://huggingface.co/Skywork/Skywork-R1V-38B}
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  }
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  ```
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  # Skywork-R1V-38B-AWQ (中文说明)
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-
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  ## 使用方法
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  您可以使用不同的推理框架来使用这个量化模型:
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@@ -256,12 +255,9 @@ print(response.text)
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  ```bibtex
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  @misc{peng2025skyworkr1vpioneeringmultimodal,
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- title={Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought},
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  author={Yi Peng and Chris and Xiaokun Wang and Yichen Wei and Jiangbo Pei and Weijie Qiu and Ai Jian and Yunzhuo Hao and Jiachun Pan and Tianyidan Xie and Li Ge and Rongxian Zhuang and Xuchen Song and Yang Liu and Yahui Zhou},
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  year={2025},
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- eprint={2504.05599},
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- archivePrefix={arXiv},
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- primaryClass={cs.CV},
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- url={https://arxiv.org/abs/2504.05599},
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  }
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  ```
 
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  ---
 
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  library_name: transformers
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+ license: mit
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  pipeline_tag: image-text-to-text
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  ---
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  <img src="skywork-logo.png" alt="Introduction Image" width="500" height="400">
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  </div>
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+ ## 📖 [Technical Report](https://huggingface.co/papers/2507.06167) | 💻 [GitHub](https://github.com/SkyworkAI/Skywork-R1V) | 🌐 [Wisemodel](https://wisemodel.cn/models/Skywork/Skywork-R1V)
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  <div align="center">
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  ```bibtex
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  @article{skywork2025r1v,
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+ title = {Skywork-R1V3 Technical Report},
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  author = {Yi Peng, Chris, Xiaokun Wang, Yichen Wei, Jiangbo Pei, Weijie Qiu, Ai Jian, Yunzhuo Hao, Jiachun Pan, Tianyidan Xie, Li Ge, Rongxian Zhuang, Xuchen Song, Yang Liu, Yahui Zhou},
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  year = {2025},
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+ journal = {https://huggingface.co/papers/2507.06167},
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+ url = {https://huggingface.co/papers/2507.06167}
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  }
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  ```
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  # Skywork-R1V-38B-AWQ (中文说明)
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  ## 使用方法
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  您可以使用不同的推理框架来使用这个量化模型:
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  ```bibtex
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  @misc{peng2025skyworkr1vpioneeringmultimodal,
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+ title={Skywork-R1V3 Technical Report},
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  author={Yi Peng and Chris and Xiaokun Wang and Yichen Wei and Jiangbo Pei and Weijie Qiu and Ai Jian and Yunzhuo Hao and Jiachun Pan and Tianyidan Xie and Li Ge and Rongxian Zhuang and Xuchen Song and Yang Liu and Yahui Zhou},
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  year={2025},
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+ url={https://huggingface.co/papers/2507.06167},
 
 
 
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  }
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  ```