rk3576上部署deepseek

1. 部署方式

deepseek的部署方式有两种：

1.开发板内直接部署，这种方式简单快捷，但是没有用上rk芯片的npu性能，完全使用CPU来进行推理

2.使用RKLLM 软件堆栈将 AI 模型部署到 Rockchip 芯片上

2. 开发板部署Deepseek-r1模型

部署流程：

安装必要命令； 安装 ollama； 部署 deepseek 2.1 安装必要命令

安装curl

#升级软件 sudo apt-get update #安装curl sudo apt-get install curl 通过以上两条指令，完成了curl命令的安装。 2.2 安装 ollama

打开ollama

运行上图所示指令：

curl -fsSL ollama /install.sh | sh >>> Installing ollama to /usr/local >>> Downloading Linux arm64 bundle ######################################################################## 100.0% >>> Creating ollama user... >>> Adding ollama user to render group... >>> Adding ollama user to video group... >>> Adding current user to ollama group... >>> Creating ollama systemd service... >>> Enabling and starting ollama service... Created symlink /etc/systemd/system/default.target.wants/ollama.service → /etc/systemd/system/ollama.service. >>> The Ollama API is now available at 127.0.0.1:11434. >>> Install complete. Run "ollama" from the command line. WARNING: No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode. 2.3 部署 deepseek

在 ollama 的官网上，选择 "Models"

1.5B的模型大概1.1G，复制指令黏贴到命令行里，就可以自动开始下载了

$ollama run deepseek-r1:1.5b pulling manifest pulling aabd4debf0c8... 100% ▕▏ 1.1 GB pulling 369ca498f347... 100% ▕▏ 387 B pulling 6e4c38e1172f... 100% ▕▏ 1.1 KB pulling f4d24e9138dd... 100% ▕▏ 148 B pulling a85fe2a2e58e... 100% ▕▏ 487 B verifying sha256 digest writing manifest success 2.4 测试deepseek

开发板下载deepseek完成后使用命令打开：

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