Mac deepseek

### DeepSeek for Mac Installation and Usage #### Prerequisites Before installing DeepSeek on macOS, ensure the system meets all prerequisites. This includes having Python installed along with necessary development tools such as Xcode Command Line Tools. To verify Python installation: ```bash python3 --version ``` If not already present, install using Homebrew: ```bash brew install python ``` Ensure Xcode Command Line Tools are installed by running: ```bash xcode-select --install ``` #### Installing DeepSeek The process of setting up DeepSeek involves several steps including cloning the repository from GitHub and configuring environment variables specific to macOS systems[^1]. Firstly, clone the official DeepSeek repository: ```bash git clone https://github.com/deepseek-labs/deepseek.git cd deepseek ``` Create a virtual environment specifically for DeepSeek: ```bash python3 -m venv venv source venv/bin/activate ``` Install dependencies listed within `requirements.txt`: ```bash pip install -r requirements.txt ``` Configure any additional settings required for macOS compatibility according to project documentation provided in README.md files or other resources related directly to platform-specific configurations[^2]. #### Running DeepSeek After completing setup procedures outlined above, start DeepSeek services through command line instructions specified either inside scripts included with distribution packages or documented elsewhere relevant to operational guidance: Start service: ```bash ./scripts/start.sh ``` Access application interface typically accessible at http://localhost:8000 unless otherwise configured during deployment phase[^3]. #### Troubleshooting Common Issues In case encountering issues post-installation, refer back to troubleshooting sections found throughout various parts of available literature covering similar topics like those mentioned previously regarding potential pitfalls when dealing with software installations across different operating environments[^4].

### 在Mac上使用DeepSeek #### 安装Ollama 为了在MacOS本地部署Deepseek，确保隐私保护的同时实现离线AI功能，需先安装Ollama工具。通过终端执行`ollama -v`来验证安装情况；如果显示版本号即表示安装成功[^1]。 #### 获取DeepSeek模型 前往Ollama官方网站定位至deepseek-r1模型页面进行下载操作。依据设备性能和个人需求挑选合适大小的预训练模型文件，比如可以选择较小规模的1.5亿参数量版本作为初步尝试。利用如下指令完成模型加载： ```bash ollama run deepseek-r1:1.5b ``` 当命令行反馈success字样时说明已正确装载所选模型并准备就绪用于交互式对话[^5]。 #### 整合iTerm2与DeepSeek 对于希望增强终端体验的用户来说，在iTerm2中集成DeepSeek插件是一个不错的选择。访问官方链接获取最新版插件包，并按照指示将其放置于指定目录内以便激活附加特性[^4]。 #### 性能评估 考虑到不同硬件配置下的表现差异，特别是针对配备Apple M系列处理器的产品线而言，有报告指出即使是在单机环境下也能获得较为理想的响应速率——例如搭载M4 Pro芯片组且拥有64GB RAM规格的MacBook Pro能够达到每秒处理约15个token的速度水平[^2]。而在更高级别的计算资源支持下（如由多台高性能机器组成的集群），这一数值还将进一步提升，从而满足更为复杂的应用场景需求[^3]。