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

article 2024/12/23 0:41:12

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 -eu

status() { echo ">>> $*" >&2; }
error() { echo "ERROR $*"; exit 1; }
warning() { echo "WARNING: $*"; }

TEMP_DIR=$(mktemp -d)
cleanup() { rm -rf $TEMP_DIR; }
trap cleanup EXIT

available() { command -v $1 >/dev/null; }
require() {
    local MISSING=''
    for TOOL in $*; do
        if ! available $TOOL; then
            MISSING="$MISSING $TOOL"
        fi
    done

    echo $MISSING
}

[ "$(uname -s)" = "Linux" ] || error 'This script is intended to run on Linux only.'

ARCH=$(uname -m)
case "$ARCH" in
    x86_64) ARCH="amd64" ;;
    aarch64|arm64) ARCH="arm64" ;;
    *) error "Unsupported architecture: $ARCH" ;;
esac

IS_WSL2=false

KERN=$(uname -r)
case "$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'" ;;
    *) ;;
esac

VER_PARAM="${OLLAMA_VERSION:+?version=$OLLAMA_VERSION}"

SUDO=
if [ "$(id -u)" -ne 0 ]; then
    # Running as root, no need for sudo
    if ! available sudo; then
        error "This script requires superuser permissions. Please re-run as root."
    fi

    SUDO="sudo"
fi

NEEDS=$(require curl awk grep sed tee xargs)
if [ -n "$NEEDS" ]; then
    status "ERROR: The following tools are required but missing:"
    for NEED in $NEEDS; do
        echo "  - $NEED"
    done
    exit 1
fi

for BINDIR in /usr/local/bin /usr/bin /bin; do
    echo $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 ; then
    status "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=1
    if [ "$OLLAMA_INSTALL_DIR/bin/ollama" != "$BINDIR/ollama" ] ; then
        status "Making ollama accessible in the PATH in $BINDIR"
        $SUDO ln -sf "$OLLAMA_INSTALL_DIR/ollama" "$BINDIR/ollama"
    fi
else
    status "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 $OLLAMA_INSTALL_DIR/ollama
    BUNDLE=0
    if [ "$OLLAMA_INSTALL_DIR/ollama" != "$BINDIR/ollama" ] ; then
        status "Making ollama accessible in the PATH in $BINDIR"
        $SUDO ln -sf "$OLLAMA_INSTALL_DIR/ollama" "$BINDIR/ollama"
    fi
fi


install_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; then
        status "Creating ollama user..."
        $SUDO useradd -r -s /bin/false -U -m -d /usr/share/ollama ollama
    fi
    if getent group render >/dev/null 2>&1; then
        status "Adding ollama user to render group..."
        $SUDO usermod -a -G render ollama
    fi
    if getent group video >/dev/null 2>&1; then
        status "Adding ollama user to video group..."
        $SUDO usermod -a -G video ollama
    fi

    status "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
EOF
    SYSTEMCTL_RUNNING="$(systemctl is-system-running || true)"
    case $SYSTEMCTL_RUNNING in
        running|degraded)
            status "Enabling and starting ollama service..."
            $SUDO systemctl daemon-reload
            $SUDO systemctl enable ollama

            start_service() { $SUDO systemctl restart ollama; }
            trap start_service EXIT
            ;;
    esac
}

if available systemctl; then
    configure_systemd
fi

# WSL2 only supports GPUs via nvidia passthrough
# so check for nvidia-smi to determine if GPU is available
if [ "$IS_WSL2" = true ]; then
    if available nvidia-smi && [ -n "$(nvidia-smi | grep -o "CUDA Version: [0-9]*.[0-9]*")" ]; then
        status "Nvidia GPU detected."
    fi
    install_success
    exit 0
fi

# Install GPU dependencies on Linux
if ! available lspci && ! available lshw; then
    warning "Unable to detect NVIDIA/AMD GPU. Install lspci or lshw to automatically detect and install GPU dependencies."
    exit 0
fi

check_gpu() {
    # Look for devices based on vendor ID for NVIDIA and AMD
    case $1 in
        lspci)
            case $2 in
                nvidia) 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 in
                nvidia) 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; then
    status "NVIDIA GPU installed."
    exit 0
fi

if ! check_gpu lspci nvidia && ! check_gpu lshw nvidia && ! check_gpu lspci amdgpu && ! check_gpu lshw amdgpu; then
    install_success
    warning "No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode."
    exit 0
fi

if check_gpu lspci amdgpu || check_gpu lshw amdgpu; then
    if [ $BUNDLE -ne 0 ]; then
        status "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_success
        status "AMD GPU ready."
        exit 0
    fi
    # Look for pre-existing ROCm v6 before downloading the dependencies
    for search in "${HIP_PATH:-''}" "${ROCM_PATH:-''}" "/opt/rocm" "/usr/lib64"; do
        if [ -n "${search}" ] && [ -e "${search}/libhipblas.so.2" -o -e "${search}/lib/libhipblas.so.2" ]; then
            status "Compatible AMD GPU ROCm library detected at ${search}"
            install_success
            exit 0
        fi
    done

    status "Downloading AMD GPU dependencies..."
    $SUDO rm -rf /usr/share/ollama/lib
    $SUDO chmod o+x /usr/share/ollama
    $SUDO install -o ollama -g ollama -m 755 -d /usr/share/ollama/lib/rocm
    proxychains curl --fail --show-error --location --progress-bar "https://ollama.com/download/ollama-linux-amd64-rocm.tgz${VER_PARAM}" 
    | $SUDO tar zx --owner ollama --group ollama -C /usr/share/ollama/lib/rocm .
    install_success
    status "AMD GPU ready."
    exit 0
fi

CUDA_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 in
        yum)
            $SUDO $PACKAGE_MANAGER -y install yum-utils
            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.repo
            else
                error $CUDA_REPO_ERR_MSG
            fi
            ;;
        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.repo
            else
                error $CUDA_REPO_ERR_MSG
            fi
            ;;
    esac

    case $1 in
        rhel)
            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
            ;;
    esac

    status 'Installing CUDA driver...'

    if [ "$1" = 'centos' ] || [ "$1$2" = 'rhel7' ]; then
        $SUDO $PACKAGE_MANAGER -y install nvidia-driver-latest-dkms
    fi

    $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 ; then
        proxychains 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.deb
    else
        error $CUDA_REPO_ERR_MSG
    fi

    case $1 in
        debian)
            status 'Enabling contrib sources...'
            $SUDO sed 's/main/contrib/' < /etc/apt/sources.list | $SUDO tee /etc/apt/sources.list.d/contrib.list > /dev/null
            if [ -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/null
            fi
            ;;
    esac

    status '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" ]; then
    error "Unknown distribution. Skipping CUDA installation."
fi

. /etc/os-release

OS_NAME=$ID
OS_VERSION=$VERSION_ID

PACKAGE_MANAGER=
for PACKAGE_MANAGER in dnf yum apt-get; do
    if available $PACKAGE_MANAGER; then
        break
    fi
done

if [ -z "$PACKAGE_MANAGER" ]; then
    error "Unknown package manager. Skipping CUDA installation."
fi

if ! check_gpu nvidia-smi || [ -z "$(nvidia-smi | grep -o "CUDA Version: [0-9]*.[0-9]*")" ]; then
    case $OS_NAME in
        centos|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
fi

if ! lsmod | grep -q nvidia || ! lsmod | grep -q nvidia_uvm; then
    KERNEL_RELEASE="$(uname -r)"
    case $OS_NAME in
        rocky) $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 ;;
    esac

    NVIDIA_CUDA_VERSION=$($SUDO dkms status | awk -F: '/added/ { print $1 }')
    if [ -n "$NVIDIA_CUDA_VERSION" ]; then
        $SUDO dkms install $NVIDIA_CUDA_VERSION
    fi

    if lsmod | grep -q nouveau; then
        status 'Reboot to complete NVIDIA CUDA driver install.'
        exit 0
    fi

    $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.conf
    MODULES="nvidia nvidia-uvm"
    for MODULE in $MODULES; do
        if ! grep -qxF "$MODULE" /etc/modules-load.d/nvidia.conf; then
            echo "$MODULE" | $SUDO tee -a /etc/modules-load.d/nvidia.conf > /dev/null
        fi
    done
fi

status "NVIDIA GPU ready."
install_success

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_docker

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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_02

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_ci_03

Ollama相关参数

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viadmin@ollama-pro:~$ ollama --help
Large language model runner

Usage:
  ollama [flags]
  ollama [command]

Available Commands:
  serve       Start ollama
  create      Create a model from a Modelfile
  show        Show information for a model
  run         Run a model
  stop        Stop a running model
  pull        Pull a model from a registry
  push        Push a model to a registry
  list        List models
  ps          List running models
  cp          Copy a model
  rm          Remove a model
  help        Help about any command

Flags:
  -h, --help      help for ollama
  -v, --version   Show version information

Use "ollama [command] --help" for more information about a command.

安装模型报错问题

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_04

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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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_ci_05

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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_ci_06

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_07

最终效果

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_08

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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_09

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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_10

Docker搭建Dify

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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_docker_11

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

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_12

国内网络在Ubuntu 22.04中在线安装Ollama并配置Open-Webui&Dify_linux_13

迷茫的人生，需要不断努力，才能看清远方模糊的志向！

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Qt5HttpServer : Qt官方的HTTP服务器

MacPorts 中安装高/低版本软件方式，以 RabbitMQ 为例

国标GB28181协议平台Liveweb:搭建建筑工地无线视频联网监控系统方案

【论文研读】U-DiTs：在U型扩散Transformer中引入下采样Token，以更低计算成本超越DiT-XL/2

解决小程序中ios可以正常滚动，而Android失效问题

【Vulkan入门】16-IndexBuffer

【论文阅读】Computing the Testing Error without a Testing Set

MySQL 中的 MVCC：实现高效并发控制

重拾设计模式--观察者模式

R语言函数简介

[SZ901]JTAG高速下载设置（53Mhz）

C# 6.0 连接elasticsearch数据库

【进阶编程】MVVM框架的每层对应那些业务

前端（Vue）tagsView（子标签页视图切换）原理及通用解决方案

ubuntu 卸载 MySQL

EJB（Enterprise JavaBean）和JavaBean

Postbot使用教程

Springboot提供外部接口和访问外部接口的简单例子

qwt 之 QwtPlotPicker

Docker_常用命令详解

嵌入式驱动开发详解19（regmap驱动架构）

CTF知识集-SSRF

组件十大传值

SQL MID()

django的model.py admin.py views.py 中的可循环遍历的精简案例

Python拆分Excel - 将工作簿或工作表拆分为多个文件

配置docker科技网络

Ubuntu 22.04 安装 Docker

安装 docker-compose

验证安装

Ubuntu 22.04 安装ollama

在线安装ollama

配置环境变量

Ollama相关参数

安装模型报错问题

最终效果

使用docker安装Open-Webui

官方文档

效果展示

Docker搭建Dify

在Dify中加载Ollama

需要添加到Systemd的配置参数

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