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  # CodeShell
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- CodeShell是[北京大学知识计算实验室](http://se.pku.edu.cn/kcl/)研发的多语言代码大模型基座。CodeShell具有70亿参数,在五千亿Tokens进行了训练,上下文窗口长度为8194。在权威的代码评估Benchmark(HumanEval与MBPP)上,CodeShell取得同等规模最好的性能。与此同时,我们提供了与CodeShell配套的部署方案与IDE插件,请参考代码库[CodeShell](https://github.com/WisdomShell/codeshell)。
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  CodeShell is a multi-language code LLM developed by the [Knowledge Computing Lab](http://se.pku.edu.cn/kcl/) of Peking University. CodeShell has 7 billion parameters and was trained on 500 billion tokens with a context window length of 8194. On authoritative code evaluation benchmarks (HumanEval and MBPP), CodeShell achieves the best performance of its scale. Meanwhile, we provide deployment solutions and IDE plugins that complement CodeShell. Please refer to the [CodeShell code repository](https://github.com/WisdomShell/codeshell) for more details."
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  | multiple-rkt | **17.20** | 12.55 | 10.43 |
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  | multiple-rs | 24.55 | **25.90** | 22.82 |
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  # License
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  本仓库开源的模型遵循[Apache 2.0 许可证](https://www.apache.org/licenses/LICENSE-2.0),对学术研究完全开放,若需要商用,开发者可发送邮件进行申请,得到书面授权后即可使用。联系邮箱:[wye@pku.edu.cn](mailto:wye@pku.edu.cn)
 
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  # CodeShell
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+ CodeShell是[北京大学知识计算实验室](http://se.pku.edu.cn/kcl/)联合四川天府银行AI团队研发的多语言代码大模型基座。CodeShell具有70亿参数,在五千亿Tokens进行了训练,上下文窗口长度为8194。在权威的代码评估Benchmark(HumanEval与MBPP)上,CodeShell取得同等规模最好的性能。与此同时,我们提供了与CodeShell配套的部署方案与IDE插件,请参考代码库[CodeShell](https://github.com/WisdomShell/codeshell)。
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  CodeShell is a multi-language code LLM developed by the [Knowledge Computing Lab](http://se.pku.edu.cn/kcl/) of Peking University. CodeShell has 7 billion parameters and was trained on 500 billion tokens with a context window length of 8194. On authoritative code evaluation benchmarks (HumanEval and MBPP), CodeShell achieves the best performance of its scale. Meanwhile, we provide deployment solutions and IDE plugins that complement CodeShell. Please refer to the [CodeShell code repository](https://github.com/WisdomShell/codeshell) for more details."
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  | multiple-rkt | **17.20** | 12.55 | 10.43 |
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  | multiple-rs | 24.55 | **25.90** | 22.82 |
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+ # Statement
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+ 我们郑重声明,我们开发团队基于CodeShell模型开发了基于vscode和intellij的智能编码助手插件并均已开源。除此以外,无论是针对iOS、Android、HarmonyOS、Web,还是其他任何平台,我们的开发团队均未开发任何基于CodeShell模型的应用程序。我们强烈敦促所有用户不要利用CodeShell模型从事危害国家和社会安全或违法活动。同时,我们要求用户不要在未经适当的安全审查和备案的互联网服务中使用CodeShell模型。我们希望所有用户都能遵守这一原则,以确保在合规和合法的环境下发展科技。
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+ 尽管我们在确保模型训练过程中使用数据合规性方面已付出巨大努力,但由于模型和数据的复杂性,可能会出现难以预料的问题。因此,对于使用CodeShell开源模型导致的任何问题,包括但不限于数据安全问题、公共舆论风险,或模型被误用、滥用、传播或不当利用等风险和问题,我们概不负责。
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+ We hereby declare that our development team has developed intelligent coding assistant plugins for vscode and intellij based on the CodeShell model, both of which have been open-sourced. Beyond this, whether for iOS, Android, HarmonyOS, Web, or any other platform, our development team has not developed any applications based on the CodeShell model. We strongly urge all users not to use the CodeShell model for activities that endanger national and social security or are illegal. At the same time, we request users not to use the CodeShell model in internet services that have not undergone proper security reviews and registration. We hope all users will adhere to this principle to ensure the development of technology in a compliant and legal environment.
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+ Despite our significant efforts to ensure compliance in the data used during the model training process, unforeseen issues may arise due to the complexity of the models and data. Therefore, we are not responsible for any issues arising from the use of the open-sourced CodeShell model, including but not limited to data security issues, public opinion risks, or risks and problems related to the model being misused, abused, disseminated, or exploited improperly.
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  # License
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  本仓库开源的模型遵循[Apache 2.0 许可证](https://www.apache.org/licenses/LICENSE-2.0),对学术研究完全开放,若需要商用,开发者可发送邮件进行申请,得到书面授权后即可使用。联系邮箱:[wye@pku.edu.cn](mailto:wye@pku.edu.cn)