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@@ -183,17 +183,3 @@ Please look at [GitHub](https://github.com/OpenBMB/OmniLMM) for more detail abou
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  * As a LLM, MiniCPM-V generates contents by learning a large mount of texts, but it cannot comprehend, express personal opinions or make value judgement. Anything generated by MiniCPM-V does not represent the views and positions of the model developers
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  * We will not be liable for any problems arising from the use of the MinCPM-V open Source model, including but not limited to data security issues, risk of public opinion, or any risks and problems arising from the misdirection, misuse, dissemination or misuse of the model.
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- ## Citation
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-
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- If you find our work helpful, please consider citing the following papers
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-
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- ```bib
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- @article{yao2024minicpmvgpt4vlevelmllm,
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- title={MiniCPM-V: A GPT-4V Level MLLM on Your Phone},
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- author={Yao, Yuan and Yu, Tianyu and Zhang, Ao and Wang, Chongyi and Cui, Junbo and Zhu, Hongji and Cai, Tianchi and Li, Haoyu and Zhao, Weilin and He, Zhihui and Chen, Qianyu and Zhou, Huarong and Zou, Zhensheng and Zhang, Haoye and Hu, Shengding and Zheng, Zhi and Zhou, Jie and Cai, Jie and Han, Xu and Zeng, Guoyang and Li, Dahai and Liu, Zhiyuan and Sun, Maosong},
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- journal={arXiv preprint arXiv:2408.01800},
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- year={2024},
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- url={https://arxiv.org/abs/2408.01800},
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- }
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- ```
 
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  * As a LLM, MiniCPM-V generates contents by learning a large mount of texts, but it cannot comprehend, express personal opinions or make value judgement. Anything generated by MiniCPM-V does not represent the views and positions of the model developers
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  * We will not be liable for any problems arising from the use of the MinCPM-V open Source model, including but not limited to data security issues, risk of public opinion, or any risks and problems arising from the misdirection, misuse, dissemination or misuse of the model.
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