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README.md
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While we place great emphasis on the safety of the model during the training process, striving to ensure that its outputs align with ethical and legal requirements, it may not completely avoid generating unexpected outputs due to the model's size and probabilistic nature. These outputs may include harmful content such as bias or discrimination. Please don't propagate such content. We do not assume any responsibility for the consequences resulting from the dissemination of inappropriate information.
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# <span id="Limitations">Contact</span>
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If you have any questions, please raise an issue or contact us at nanbeige@kanzhun.com.
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While we place great emphasis on the safety of the model during the training process, striving to ensure that its outputs align with ethical and legal requirements, it may not completely avoid generating unexpected outputs due to the model's size and probabilistic nature. These outputs may include harmful content such as bias or discrimination. Please don't propagate such content. We do not assume any responsibility for the consequences resulting from the dissemination of inappropriate information.
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# <span id="Limitations">Citation</span>
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If you find our model useful or want to use it in your projects, please cite as follows:
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```
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@misc{yang2026nanbeige413bsmallgeneralmodel,
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title={Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts},
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author={Chen Yang and Guangyue Peng and Jiaying Zhu and Ran Le and Ruixiang Feng and Tao Zhang and Xiyun Xu and Yang Song and Yiming Jia and Yuntao Wen and Yunzhi Xu and Zekai Wang and Zhenwei An and Zhicong Sun and Zongchao Chen},
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year={2026},
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eprint={2602.13367},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2602.13367},
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}
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```
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<br>
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# <span id="Limitations">Contact</span>
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If you have any questions, please raise an issue or contact us at nanbeige@kanzhun.com.
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