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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 https://ollama.com/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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