> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/cherry-studio/installation.md). # Download and Installation Guide Please first from [Official download page](https://cherryai.com.cn/download/v2) Download the installation package that matches your system and chip architecture. ## Select system * [Windows Installation Guide](/docs/en-us/cherry-studio/installation/windows.md) * [macOS Installation Guide](/docs/en-us/cherry-studio/installation/macos.md) * [Linux Installation Guide](/docs/en-us/cherry-studio/installation/linux.md) ## Installation Complete If Cherry Studio opens normally, the client installation is complete. Then continue with Quick Start, configure the model service, and send your first message. *** ### 💡 Get help and submit feedback If you encounter any problems during installation, configuration, or use, or have suggestions for feature improvements, please submit them through [Feedback and Suggestions](/docs/en-us/question-contact/suggestions.md) the official channels provided here. When submitting installation issues, please include the operating system version, chip architecture, installer package name, and the full error message to help pinpoint the problem. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.cherryai.com.cn/docs/en-us/cherry-studio/installation.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.