国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-WebuiDify

配置docker科技网络

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创建或编辑 Docker 配置文件 让docker使用代理：
sudo mkdir /etc/systemd/system/docker.service.d -p
sudo vim /etc/systemd/system/docker.service.d/http-proxy.conf 文件，并添加以下内容：
[Service]
Environment="HTTP_PROXY=http://10.10.9.232:30809"
Environment="HTTPS_PROXY=http://10.10.9.232:30809"
Environment="NO_PROXY=localhost,127.0.0.1"重新加载 systemd 配置并重启 Docker 服务：
sudo systemctl daemon-reload
sudo systemctl restart docker验证配置是否生效
sudo systemctl show --property=Environment docker

Ubuntu 22.04 安装 Docker

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curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun
systemctl enable --now docker

安装 docker-compose

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curl -L https://github.com/docker/compose/releases/download/v2.20.3/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose

验证安装

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docker -v
docker-compose -v

---

Ubuntu 22.04 安装ollama

• 在开始之前必须具备科技网络，然后安装并配置好proxychains
• 配置好proxychains工具之后，将在线安装脚本的所有curl命令前面增加命令：proxychains
• 然后正常执行安装脚本，期间保证科技网络能够使用，没有意外的话即可在线安装成功。

在线安装ollama

• ?https://ollama.com/download/linux
• ?https://ollama.com/library/llama3.1:8b

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国内，安装因为速度太慢而超时安装不了，所以，将安装脚本下载下来，走代理安装
wget https://ollama.com/install.sh
chmod +x install.sh或者
curl -fsSL https://ollama.com/install.sh -o ollama_install.sh
chmod +x ollama_install.sh或者
curl -O https://ollama.com/install.sh
chmod +x install.sh

• 修改版本原始安装脚本

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#!/bin/sh
# This script installs Ollama on Linux.
# It detects the current operating system architecture and installs the appropriate version of Ollama.set -eustatus() { echo ">>> $*" >&2; }
error() { echo "ERROR $*"; exit 1; }
warning() { echo "WARNING: $*"; }TEMP_DIR=$(mktemp -d)
cleanup() { rm -rf $TEMP_DIR; }
trap cleanup EXITavailable() { command -v $1 >/dev/null; }
require() {local MISSING=''for TOOL in $*; doif ! available $TOOL; thenMISSING="$MISSING $TOOL"fidoneecho $MISSING
}[ "$(uname -s)" = "Linux" ] || error 'This script is intended to run on Linux only.'ARCH=$(uname -m)
case "$ARCH" inx86_64) ARCH="amd64" ;;aarch64|arm64) ARCH="arm64" ;;*) error "Unsupported architecture: $ARCH" ;;
esacIS_WSL2=falseKERN=$(uname -r)
case "$KERN" in*icrosoft*WSL2 | *icrosoft*wsl2) IS_WSL2=true;;*icrosoft) error "Microsoft WSL1 is not currently supported. Please use WSL2 with 'wsl --set-version <distro> 2'" ;;*) ;;
esacVER_PARAM="${OLLAMA_VERSION:+?version=$OLLAMA_VERSION}"SUDO=
if [ "$(id -u)" -ne 0 ]; then# Running as root, no need for sudoif ! available sudo; thenerror "This script requires superuser permissions. Please re-run as root."fiSUDO="sudo"
fiNEEDS=$(require curl awk grep sed tee xargs)
if [ -n "$NEEDS" ]; thenstatus "ERROR: The following tools are required but missing:"for NEED in $NEEDS; doecho "  - $NEED"doneexit 1
fifor BINDIR in /usr/local/bin /usr/bin /bin; doecho $PATH | grep -q $BINDIR && break || continue
done
OLLAMA_INSTALL_DIR=$(dirname ${BINDIR})status "Installing ollama to $OLLAMA_INSTALL_DIR"
$SUDO install -o0 -g0 -m755 -d $BINDIR
$SUDO install -o0 -g0 -m755 -d "$OLLAMA_INSTALL_DIR"
if proxychains curl -I --silent --fail --location "https://ollama.com/download/ollama-linux-${ARCH}.tgz${VER_PARAM}" >/dev/null ; thenstatus "Downloading Linux ${ARCH} bundle"proxychains curl --fail --show-error --location --progress-bar "https://ollama.com/download/ollama-linux-${ARCH}.tgz${VER_PARAM}" | $SUDO tar -xzf - -C "$OLLAMA_INSTALL_DIR"BUNDLE=1if [ "$OLLAMA_INSTALL_DIR/bin/ollama" != "$BINDIR/ollama" ] ; thenstatus "Making ollama accessible in the PATH in $BINDIR"$SUDO ln -sf "$OLLAMA_INSTALL_DIR/ollama" "$BINDIR/ollama"fi
elsestatus "Downloading Linux ${ARCH} CLI"proxychains curl --fail --show-error --location --progress-bar -o "$TEMP_DIR/ollama"
"https://ollama.com/download/ollama-linux-${ARCH}${VER_PARAM}"$SUDO install -o0 -g0 -m755 $TEMP_DIR/ollama $OLLAMA_INSTALL_DIR/ollamaBUNDLE=0if [ "$OLLAMA_INSTALL_DIR/ollama" != "$BINDIR/ollama" ] ; thenstatus "Making ollama accessible in the PATH in $BINDIR"$SUDO ln -sf "$OLLAMA_INSTALL_DIR/ollama" "$BINDIR/ollama"fi
fiinstall_success() {status 'The Ollama API is now available at 127.0.0.1:11434.'status 'Install complete. Run "ollama" from the command line.'
}
trap install_success EXIT# Everything from this point onwards is optional.configure_systemd() {if ! id ollama >/dev/null 2>&1; thenstatus "Creating ollama user..."$SUDO useradd -r -s /bin/false -U -m -d /usr/share/ollama ollamafiif getent group render >/dev/null 2>&1; thenstatus "Adding ollama user to render group..."$SUDO usermod -a -G render ollamafiif getent group video >/dev/null 2>&1; thenstatus "Adding ollama user to video group..."$SUDO usermod -a -G video ollamafistatus "Adding current user to ollama group..."$SUDO usermod -a -G ollama $(whoami)status "Creating ollama systemd service..."cat <<EOF | $SUDO tee /etc/systemd/system/ollama.service >/dev/null
[Unit]
Description=Ollama Service
After=network-online.target[Service]
ExecStart=$BINDIR/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3
Environment="PATH=$PATH"[Install]
WantedBy=default.target
EOFSYSTEMCTL_RUNNING="$(systemctl is-system-running || true)"case $SYSTEMCTL_RUNNING inrunning|degraded)status "Enabling and starting ollama service..."$SUDO systemctl daemon-reload$SUDO systemctl enable ollamastart_service() { $SUDO systemctl restart ollama; }trap start_service EXIT;;esac
}if available systemctl; thenconfigure_systemd
fi# WSL2 only supports GPUs via nvidia passthrough
# so check for nvidia-smi to determine if GPU is available
if [ "$IS_WSL2" = true ]; thenif available nvidia-smi && [ -n "$(nvidia-smi | grep -o "CUDA Version: [0-9]*.[0-9]*")" ]; thenstatus "Nvidia GPU detected."fiinstall_successexit 0
fi# Install GPU dependencies on Linux
if ! available lspci && ! available lshw; thenwarning "Unable to detect NVIDIA/AMD GPU. Install lspci or lshw to automatically detect and install GPU dependencies."exit 0
ficheck_gpu() {# Look for devices based on vendor ID for NVIDIA and AMDcase $1 inlspci)case $2 innvidia) available lspci && lspci -d '10de:' | grep -q 'NVIDIA' || return 1 ;;amdgpu) available lspci && lspci -d '1002:' | grep -q 'AMD' || return 1 ;;esac ;;lshw)case $2 innvidia) available lshw && $SUDO lshw -c display -numeric -disable network | grep -q 'vendor: .* [10DE]' || return 1 ;;amdgpu) available lshw && $SUDO lshw -c display -numeric -disable network | grep -q 'vendor: .* [1002]' || return 1 ;;esac ;;nvidia-smi) available nvidia-smi || return 1 ;;esac
}if check_gpu nvidia-smi; thenstatus "NVIDIA GPU installed."exit 0
fiif ! check_gpu lspci nvidia && ! check_gpu lshw nvidia && ! check_gpu lspci amdgpu && ! check_gpu lshw amdgpu; theninstall_successwarning "No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode."exit 0
fiif check_gpu lspci amdgpu || check_gpu lshw amdgpu; thenif [ $BUNDLE -ne 0 ]; thenstatus "Downloading Linux ROCm ${ARCH} bundle"proxychains curl --fail --show-error --location --progress-bar "https://ollama.com/download/ollama-linux-${ARCH}-rocm.tgz${VER_PARAM}" | $SUDO tar -xzf - -C "$OLLAMA_INSTALL_DIR"install_successstatus "AMD GPU ready."exit 0fi# Look for pre-existing ROCm v6 before downloading the dependenciesfor search in "${HIP_PATH:-''}" "${ROCM_PATH:-''}" "/opt/rocm" "/usr/lib64"; doif [ -n "${search}" ] && [ -e "${search}/libhipblas.so.2" -o -e "${search}/lib/libhipblas.so.2" ]; thenstatus "Compatible AMD GPU ROCm library detected at ${search}"install_successexit 0fidonestatus "Downloading AMD GPU dependencies..."$SUDO rm -rf /usr/share/ollama/lib$SUDO chmod o+x /usr/share/ollama$SUDO install -o ollama -g ollama -m 755 -d /usr/share/ollama/lib/rocmproxychains curl --fail --show-error --location --progress-bar "https://ollama.com/download/ollama-linux-amd64-rocm.tgz${VER_PARAM}" | $SUDO tar zx --owner ollama --group ollama -C /usr/share/ollama/lib/rocm .install_successstatus "AMD GPU ready."exit 0
fiCUDA_REPO_ERR_MSG="NVIDIA GPU detected, but your OS and Architecture are not supported by NVIDIA.  Please install the CUDA driver manually https://docs.nvidia.com/cuda/cuda-installation-guide-linux/"
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-7-centos-7
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-8-rocky-8
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-9-rocky-9
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#fedora
install_cuda_driver_yum() {status 'Installing NVIDIA repository...'case $PACKAGE_MANAGER inyum)$SUDO $PACKAGE_MANAGER -y install yum-utilsif proxychains curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo" >/dev/null ; then$SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repoelseerror $CUDA_REPO_ERR_MSGfi;;dnf)if proxychains curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo" >/dev/null ; then$SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repoelseerror $CUDA_REPO_ERR_MSGfi;;esaccase $1 inrhel)status 'Installing EPEL repository...'# EPEL is required for third-party dependencies such as dkms and libvdpau$SUDO $PACKAGE_MANAGER -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-$2.noarch.rpm || true;;esacstatus 'Installing CUDA driver...'if [ "$1" = 'centos' ] || [ "$1$2" = 'rhel7' ]; then$SUDO $PACKAGE_MANAGER -y install nvidia-driver-latest-dkmsfi$SUDO $PACKAGE_MANAGER -y install cuda-drivers
}# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#ubuntu
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#debian
install_cuda_driver_apt() {status 'Installing NVIDIA repository...'if proxychains curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-keyring_1.1-1_all.deb" >/dev/null ; thenproxychains curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-keyring_1.1-1_all.debelseerror $CUDA_REPO_ERR_MSGficase $1 indebian)status 'Enabling contrib sources...'$SUDO sed 's/main/contrib/' < /etc/apt/sources.list | $SUDO tee /etc/apt/sources.list.d/contrib.list > /dev/nullif [ -f "/etc/apt/sources.list.d/debian.sources" ]; then$SUDO sed 's/main/contrib/' < /etc/apt/sources.list.d/debian.sources | $SUDO tee /etc/apt/sources.list.d/contrib.sources > /dev/nullfi;;esacstatus 'Installing CUDA driver...'$SUDO dpkg -i $TEMP_DIR/cuda-keyring.deb$SUDO apt-get update[ -n "$SUDO" ] && SUDO_E="$SUDO -E" || SUDO_E=DEBIAN_FRONTEND=noninteractive $SUDO_E apt-get -y install cuda-drivers -q
}if [ ! -f "/etc/os-release" ]; thenerror "Unknown distribution. Skipping CUDA installation."
fi. /etc/os-releaseOS_NAME=$ID
OS_VERSION=$VERSION_IDPACKAGE_MANAGER=
for PACKAGE_MANAGER in dnf yum apt-get; doif available $PACKAGE_MANAGER; thenbreakfi
doneif [ -z "$PACKAGE_MANAGER" ]; thenerror "Unknown package manager. Skipping CUDA installation."
fiif ! check_gpu nvidia-smi || [ -z "$(nvidia-smi | grep -o "CUDA Version: [0-9]*.[0-9]*")" ]; thencase $OS_NAME incentos|rhel) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -d '.' -f 1) ;;rocky) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -c1) ;;fedora) [ $OS_VERSION -lt '39' ] && install_cuda_driver_yum $OS_NAME $OS_VERSION || install_cuda_driver_yum $OS_NAME '39';;amzn) install_cuda_driver_yum 'fedora' '37' ;;debian) install_cuda_driver_apt $OS_NAME $OS_VERSION ;;ubuntu) install_cuda_driver_apt $OS_NAME $(echo $OS_VERSION | sed 's/.//') ;;*) exit ;;esac
fiif ! lsmod | grep -q nvidia || ! lsmod | grep -q nvidia_uvm; thenKERNEL_RELEASE="$(uname -r)"case $OS_NAME inrocky) $SUDO $PACKAGE_MANAGER -y install kernel-devel kernel-headers ;;centos|rhel|amzn) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE kernel-headers-$KERNEL_RELEASE ;;fedora) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE ;;debian|ubuntu) $SUDO apt-get -y install linux-headers-$KERNEL_RELEASE ;;*) exit ;;esacNVIDIA_CUDA_VERSION=$($SUDO dkms status | awk -F: '/added/ { print $1 }')if [ -n "$NVIDIA_CUDA_VERSION" ]; then$SUDO dkms install $NVIDIA_CUDA_VERSIONfiif lsmod | grep -q nouveau; thenstatus 'Reboot to complete NVIDIA CUDA driver install.'exit 0fi$SUDO modprobe nvidia$SUDO modprobe nvidia_uvm
fi# make sure the NVIDIA modules are loaded on boot with nvidia-persistenced
if available nvidia-persistenced; then$SUDO touch /etc/modules-load.d/nvidia.confMODULES="nvidia nvidia-uvm"for MODULE in $MODULES; doif ! grep -qxF "$MODULE" /etc/modules-load.d/nvidia.conf; thenecho "$MODULE" | $SUDO tee -a /etc/modules-load.d/nvidia.conf > /dev/nullfidone
fistatus "NVIDIA GPU ready."
install_success

• 手动安装参考：

配置环境变量

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vim /home/viadmin/.bashrc
export OLLAMA_HOST=http://10.10.16.60:11434
systemctl set-environment OLLAMA_HOST=http://10.10.16.60:11434
source .bashrc
systemctl restart ollama
systemctl status ollama

Ollama相关参数

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viadmin@ollama-pro:~$ ollama --help
Large language model runnerUsage:ollama [flags]ollama [command]Available Commands:serve       Start ollamacreate      Create a model from a Modelfileshow        Show information for a modelrun         Run a modelstop        Stop a running modelpull        Pull a model from a registrypush        Push a model to a registrylist        List modelsps          List running modelscp          Copy a modelrm          Remove a modelhelp        Help about any commandFlags:-h, --help      help for ollama-v, --version   Show version informationUse "ollama [command] --help" for more information about a command.

安装模型报错问题

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Error: could not connect to ollama app, is it running?

• 经过查询，发现是需要先启动ollama app，启动方式是：sudo ollama serve

• 上述启动是一个交互式的形式，可以使用screen命令，进入此空间后再执行。
• 上述执行完成之后就可以下载模型了。
• ?https://github.com/ollama/ollama

最终效果

---

使用docker安装Open-Webui

官方文档

• ?https://docs.openwebui.com/
• ?https://github.com/open-webui/open-webui

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官方：
sudo docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main自定义安装将3000端口改为80端口
docker run -d -p 80:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main

• 经过测试上述操作，虽然open-webui成功启动，但是无法识别本地安装的ollama模型，所以需要使用以下方式启动

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sudo docker run -d --network=host -e OLLAMA_BASE_URL=http://127.0.0.1:11434 -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main

效果展示

---

Docker搭建Dify

1. 克隆 Dify 源代码至本地环境。git clone https://github.com/langgenius/dify.git
2. 进入 Dify 源代码的 Docker 目录cd dify/docker
3. 复制环境配置文件cp .env.example .env
4. 启动 Docker 容器

• 根据你系统上的 Docker Compose 版本，选择合适的命令来启动容器。你可以通过 $ docker compose version 命令检查版本，详细说明请参考 Docker 官方文档：

• 如果版本是 Docker Compose V2，使用以下命令：docker compose up -d

• 如果版本是 Docker Compose V1，使用以下命令：docker-compose up -d

• 最后检查是否所有容器都正常运行：docker compose ps

• 参考：

• ?https://docs.dify.ai/zh-hans/getting-started/install-self-hosted/docker-compose

• 上述完成之后，正常访问部署到服务器的IP地址，然后会让你初始化设置账户和密码，然后登录进去下面是登录进去的效果。

在Dify中加载Ollama

• 这里刚开始踩了坑，就是默认情况下新版本的Ollama安装成功之后就是以Systemd服务的形式启动，而这个刚开始我没仔细看，导致自己也手动使用ollama serve启动了服务，这样导致互相混淆了，最终导致的结果就是我无论怎么配置加载，在Dify中都无法查看到Ollama所加载的模型。
• 解决办法就是我关停了自己使用ollama serve启动的服务，然后使用Systemd形式进行管理配置服务，并且配置侦听所有IP地址。
• 由于上述的操作，导致对应下载的模型路径不对，所以需要更改模型的路径。

需要添加到Systemd的配置参数

• sudo vim /etc/systemd/system/ollama.service

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Environment="OLLAMA_HOST=0.0.0.0"
Environment="OLLAMA_MODELS=/home/viadmin/.ollama/models"

• 最终的配置结果

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viadmin@ollama-pro:/etc/systemd/system$ cat ollama.service 
[Unit]
Description=Ollama Service
After=network-online.target[Service]
Environment="OLLAMA_HOST=0.0.0.0"
ExecStart=/usr/local/bin/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3
Environment="PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
Environment="OLLAMA_MODELS=/home/viadmin/.ollama/models"[Install]
WantedBy=default.target

• 目录权限记得给够，不行就给777

• 重启服务

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sudo systemctl daemon-reload
sudo systemctl restart ollama.service
sudo systemctl status ollama.service

迷茫的人生，需要不断努力，才能看清远方模糊的志向！