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博客园 - jiftle

opencode系统提示词加载机制 Qoder CN版本v1.4.2 (2026-06-27) 提供套餐余量查看 清理宝塔面板 桌面 AI 应用技术栈深度对比:腾讯元宝 vs WorkBuddy 【转载】编辑器之神与神的编辑器:Vim 与 Emacs 的传奇 OpenCode 源码解读报告 linux双网卡默认路由问题 通过4种方法来重置 UOS 操作系统中的用户密码 统信服务器系统【重置登录密码】解决方案 vscode插件Git Graph 怎么只提交单个文件 opencode 配置本地ollama模型编程 opencode编程工具 ollama模型导出 【转载】从源码看 Qwen Code 的设计思路 Qwen Code 代码分析 模型性能评测 职场真相:不是赏饭吃,是价值交换 vim插件AI结对编程辅助编程插件 千问网页版生成的代码不支持语法高亮 linux检查显存大小(集成显卡) golang测试模型的token输出速度 Go 实现本地 Ollama 模型基准测试工具 使用golang编写大语言模型的输出速度性能 树莓派pico使用无源蜂鸣器播放小星星 树莓派pico播放玛丽有只小羊羔 树莓派pico蜂鸣器播放音乐 树莓派 pico W(创客版)RP2020 W代码示例温度检测+液晶显示屏+HTTP服务器页面控制灯光 极简transformer,仅供理解原理
ollama v0.18.2手工部署安装,linux, deepin 20.9
jiftle · 2026-03-19 · via 博客园 - jiftle

Documentation Index

Fetch the complete documentation index at: https://docs.ollama.com/llms.txt
Use this file to discover all available pages before exploring further.

Linux

Install

To install Ollama, run the following command:

curl -fsSL https://ollama.com/install.sh | sh

Manual install

If you are upgrading from a prior version, you should remove the old libraries with `sudo rm -rf /usr/lib/ollama` first.

Download and extract the package:
文件很大1.8GB,建议使用迅雷下载,https://ollama.com/download/ollama-linux-amd64.tar.zst
然后 tar xf ollama-linux-amd64.tar.zst -C /usr

curl -fsSL https://ollama.com/download/ollama-linux-amd64.tar.zst \
    | sudo tar x -C /usr

Start Ollama:

ollama serve

In another terminal, verify that Ollama is running:

ollama -v

AMD GPU install

If you have an AMD GPU, also download and extract the additional ROCm package:

curl -fsSL https://ollama.com/download/ollama-linux-amd64-rocm.tar.zst \
    | sudo tar x -C /usr

ARM64 install

Download and extract the ARM64-specific package:

curl -fsSL https://ollama.com/download/ollama-linux-arm64.tar.zst \
    | sudo tar x -C /usr

Create a user and group for Ollama:

sudo useradd -r -s /bin/false -U -m -d /usr/share/ollama ollama
sudo usermod -a -G ollama $(whoami)

Create a service file in /etc/systemd/system/ollama.service:

[Unit]
Description=Ollama Service
After=network-online.target

[Service]
ExecStart=/usr/bin/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3
Environment="PATH=$PATH"

[Install]
WantedBy=multi-user.target

Then start the service:

sudo systemctl daemon-reload
sudo systemctl enable ollama

Install CUDA drivers (optional)

Download and install CUDA.

Verify that the drivers are installed by running the following command, which should print details about your GPU:

nvidia-smi

Install AMD ROCm drivers (optional)

Download and Install ROCm v7.

Start Ollama

Start Ollama and verify it is running:

sudo systemctl start ollama
sudo systemctl status ollama
While AMD has contributed the `amdgpu` driver upstream to the official linux kernel source, the version is older and may not support all ROCm features. We recommend you install the latest driver from [https://www.amd.com/en/support/linux-drivers](https://www.amd.com/en/support/linux-drivers) for best support of your Radeon GPU.

Customizing

To customize the installation of Ollama, you can edit the systemd service file or the environment variables by running:

sudo systemctl edit ollama

Alternatively, create an override file manually in /etc/systemd/system/ollama.service.d/override.conf:

[Service]
Environment="OLLAMA_DEBUG=1"

Updating

Update Ollama by running the install script again:

curl -fsSL https://ollama.com/install.sh | sh

Or by re-downloading Ollama:

curl -fsSL https://ollama.com/download/ollama-linux-amd64.tar.zst \
    | sudo tar x -C /usr

Installing specific versions

Use OLLAMA_VERSION environment variable with the install script to install a specific version of Ollama, including pre-releases. You can find the version numbers in the releases page.

For example:

curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=0.5.7 sh

Viewing logs

To view logs of Ollama running as a startup service, run:

journalctl -e -u ollama

Uninstall

Remove the ollama service:

sudo systemctl stop ollama
sudo systemctl disable ollama
sudo rm /etc/systemd/system/ollama.service

Remove ollama libraries from your lib directory (either /usr/local/lib, /usr/lib, or /lib):

sudo rm -r $(which ollama | tr 'bin' 'lib')

Remove the ollama binary from your bin directory (either /usr/local/bin, /usr/bin, or /bin):

sudo rm $(which ollama)

Remove the downloaded models and Ollama service user and group:

sudo userdel ollama
sudo groupdel ollama
sudo rm -r /usr/share/ollama