阅读量:1
一、下载Ollama
在线安装：
在linux中输入命令curl -fsSL https://ollama.com/install.sh | sh
由于在linux下载ollama需要经过外网，网络会不稳定，很容易造成连接超时的问题。
离线安装：
步骤一： 下载Ollama离线版本
在linux服务器中输入命令：lscpu查看服务器型号
然后再该地址中下载Ollama离线版本：
https://github.com/ollama/ollama/releases
步骤二： 下载install.sh文件修改内容
地址为：https://ollama.com/install.sh
修改位置1：
注释掉在线下载ollama的命令
修改位置2：
修改ollama安装地址，将ollama离线版本与install放到一起
install.sh最终修改的版本：
#!/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 "$KERN" in *icrosoft*WSL2 | *icrosoft*wsl2) IS_WSL2=true;; *icrosoft) error "Microsoft WSL1 is not currently supported. Please upgrade to WSL2 with 'wsl --set-version <distro> 2'" ;; *) ;; esac VER_PARAM="${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 status "Downloading ollama..." # curl --fail --show-error --location --progress-bar -o $TEMP_DIR/ollama "https://ollama.com/download/ollama-linux-${ARCH}${VER_PARAM}" for BINDIR in /usr/local/bin /usr/bin /bin; do echo $PATH | grep -q $BINDIR && break || continue done status "Installing ollama to $BINDIR..." $SUDO install -o0 -g0 -m755 -d $BINDIR # $SUDO install -o0 -g0 -m755 $TEMP_DIR/ollama $BINDIR/ollama $SUDO install -o0 -g0 -m755 ./ollama-linux-amd64 $BINDIR/ollama 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 | grep -q 'vendor: .* \[10DE\]' || return 1 ;; amdgpu) available lshw && $SUDO lshw -c display -numeric | 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 # 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 $SUDO install -o ollama -g ollama -m 755 -d /usr/share/ollama/lib/rocm curl --fail --show-error --location --progress-bar "https://ollama.com/download/ollama-linux-amd64-rocm.tgz${VER_PARAM}" \ | $SUDO tar zx --owner ollama --group ollama -C /usr/share/ollama/lib/rocm . install_success status "AMD GPU ready." exit 0 fi # 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 $SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo ;; dnf) $SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo ;; 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...' curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-keyring_1.1-1_all.deb 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 '37' ] && install_cuda_driver_yum $OS_NAME $OS_VERSION || install_cuda_driver_yum $OS_NAME '37';; 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 command -v nvidia-persistenced > /dev/null 2>&1; 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 出现该内容说明Ollama已经安装完成
二、启动Nginx并部署Vue
启动nginx命令：systemctl start nginx.service
查看nginx状态：systemctl status nginx.service
关闭nginx命令：systemctl stop nginx.service
修改子配置文件，因为子配置文件内是写http的内容。
nginx服务所在地址为：/etc/nginx/sites-available
进入该目录编辑default文件：vim default
index index.html index.htm index.nginx-debian.html; # First attempt to serve request as file, then # as directory, then fall back to displaying a 404. try_files $uri $uri/ @router; } location @router { rewrite ^.*$ /index.html last; } 如果你前端使用的是vue并且用了vue-router，那么就需要配置该代码，否则你进行router跳转的时候，就会出现404的问题。
三、启动Python脚本
进入存放python脚本的目录，运行命令：python xxx.py。运行脚本后，系统可能会提示有一些模块没有安装，按照提示安装即可。
命令：pip install module_name
其中可能有些脚本提示不对，比如：ModuleNotFoundError: No module named 'docx'
如果出现这个问题，不能直接安装docx模块，而是应该安装python-docx。
将该安装的库全部安装后，进入放置python脚本的目录启动入口文件，短暂启动命令：python ai_analysis.py
持久后台运行命令：nohup python ai_analysis.py /opt/app/llm_python/ai_analysis_project/log 2>&1
四、目前项目需要的库
使用MimiCPM需要的库，官方测试所用的环境：
Pillow10.1.0
torch2.1.2 / 1.13.0（原本的库版本）
torchvision0.16.2 / 0.17.1（原本的库版本）
transformers4.40.0
sentencepiece0.1.99
accelerate0.30.1
bitsandbytes==0.43.1
AI分析所需要的库
langchain
langchain_community
分析文档所需要的库
pandasai
python-docx
fitz
faiss-gpu (conda install faiss-gpu -c pytorch)
