diff --git a/docs/static/install.sh b/docs/static/install.sh
new file mode 100644
index 000000000000..518f30cd3f75
--- /dev/null
+++ b/docs/static/install.sh
@@ -0,0 +1,608 @@
+#!/bin/sh
+# This script installs LocalAI on Linux.
+# It detects the current operating system architecture and installs the appropriate version of LocalAI.
+
+# Usage:
+#   curl ... | ENV_VAR=... sh -
+#       or
+#   ENV_VAR=... ./install.sh
+
+set -e
+set -o noglob
+set -x
+# DOCKER_INSTALL - set to "true" to install Docker images
+# USE_AIO - set to "true" to install the all-in-one LocalAI image
+PORT=${PORT:-8080}
+DOCKER_INSTALL=${DOCKER_INSTALL:-false}
+USE_AIO=${USE_AIO:-false}
+API_KEY=${API_KEY:-}
+CORE_IMAGES=${CORE_IMAGES:-false}
+# nprocs -1
+procs=$(nproc)
+procs=$((procs-1))
+THREADS=${THREADS:-$procs}
+LATEST_VERSION=$(curl -s "https://api.github.com/repos/mudler/LocalAI/releases/latest" | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/')
+VERSION="${VERSION:-$LATEST_VERSION}"
+MODELS_PATH=${MODELS_PATH:-/usr/share/local-ai/models}
+
+# --- helper functions for logs ---
+info()
+{
+    echo ' ' "$@"
+}
+warn()
+{
+    echo '[WARN] ' "$@" >&2
+}
+fatal()
+{
+    echo '[ERROR] ' "$@" >&2
+    exit 1
+}
+
+# --- fatal if no systemd or openrc ---
+verify_system() {
+    if [ -x /sbin/openrc-run ]; then
+        HAS_OPENRC=true
+        return
+    fi
+    if [ -x /bin/systemctl ] || type systemctl > /dev/null 2>&1; then
+        HAS_SYSTEMD=true
+        return
+    fi
+    fatal 'Can not find systemd or openrc to use as a process supervisor for local-ai.'
+}
+
+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
+}
+
+
+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 ;;
+                intel) available lspci && lspci | grep -E 'VGA|3D' | grep -iq intel | 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 ;;
+                intel) available lshw  && $SUDO lshw -c display -numeric | grep -q 'vendor: .* \[8086\]' || return 1 ;;
+            esac ;;
+        nvidia-smi) available nvidia-smi || return 1 ;;
+    esac
+}
+
+
+install_success() {
+    info "The LocalAI API is now available at 127.0.0.1:$PORT."
+    if [ "$DOCKER_INSTALL" = "true" ]; then
+        info "The LocalAI Docker container is now running."
+    else
+        info 'Install complete. Run "local-ai" from the command line.'
+    fi
+}
+
+aborted() {
+    warn 'Installation aborted.'
+    exit 1
+}
+
+trap aborted INT
+
+# Everything from this point onwards is optional.
+
+configure_systemd() {
+    if ! id local-ai >/dev/null 2>&1; then
+        info "Creating local-ai user..."
+        $SUDO useradd -r -s /bin/false -U -m -d /usr/share/local-ai local-ai
+    fi
+
+    info "Adding current user to local-ai group..."
+    $SUDO usermod -a -G local-ai $(whoami)
+
+    info "Creating local-ai systemd service..."
+    cat <<EOF | $SUDO tee /etc/systemd/system/local-ai.service >/dev/null
+[Unit]
+Description=LocalAI Service
+After=network-online.target
+
+[Service]
+ExecStart=$BINDIR/local-ai run
+User=local-ai
+Group=local-ai
+Restart=always
+EnvironmentFile=/etc/localai.env
+RestartSec=3
+Environment="PATH=$PATH"
+WorkingDirectory=/usr/share/local-ai
+
+[Install]
+WantedBy=default.target
+EOF
+    
+    $SUDO touch /etc/localai.env
+    $SUDO echo "ADDRESS=0.0.0.0:$PORT" | $SUDO tee /etc/localai.env >/dev/null
+    $SUDO echo "API_KEY=$API_KEY" | $SUDO tee -a /etc/localai.env >/dev/null
+    $SUDO echo "THREADS=$THREADS" | $SUDO tee -a /etc/localai.env >/dev/null
+    $SUDO echo "MODELS_PATH=$MODELS_PATH" | $SUDO tee -a /etc/localai.env >/dev/null
+
+    SYSTEMCTL_RUNNING="$(systemctl is-system-running || true)"
+    case $SYSTEMCTL_RUNNING in
+        running|degraded)
+            info "Enabling and starting local-ai service..."
+            $SUDO systemctl daemon-reload
+            $SUDO systemctl enable local-ai
+
+            start_service() { $SUDO systemctl restart local-ai; }
+            trap start_service EXIT
+            ;;
+    esac
+}
+
+
+
+# ref: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
+install_container_toolkit_yum() {
+    info 'Installing NVIDIA repository...'
+
+    curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo | \
+    $SUDO  tee /etc/yum.repos.d/nvidia-container-toolkit.repo
+
+    if [ "$PACKAGE_MANAGER" == "dnf" ]; then
+        $SUDO $PACKAGE_MANAGER config-manager --enable nvidia-container-toolkit-experimental
+    else 
+        $SUDO $PACKAGE_MANAGER -y install yum-utils
+        $SUDO $PACKAGE_MANAGER-config-manager --enable nvidia-container-toolkit-experimental
+    fi
+    $SUDO $PACKAGE_MANAGER install -y nvidia-container-toolkit
+}
+
+install_container_toolkit_apt() {
+    info 'Installing NVIDIA repository...'
+
+    curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | $SUDO gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
+  && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
+    sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
+    $SUDO tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+
+    $SUDO sudo apt-get update && $SUDO apt-get install -y nvidia-container-toolkit
+}
+
+install_container_toolkit_zypper() {
+    info 'Installing NVIDIA repository...'
+    $SUDO zypper ar https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
+    $SUDO zypper modifyrepo --enable nvidia-container-toolkit-experimental
+    $SUDO zypper --gpg-auto-import-keys install -y nvidia-container-toolkit
+}
+
+install_container_toolkit() {
+    if [ ! -f "/etc/os-release" ]; then
+        fatal "Unknown distribution. Skipping CUDA installation."
+    fi
+
+    ## Check if it's already installed
+    if check_gpu nvidia-smi && available nvidia-container-runtime; then
+        info "NVIDIA Container Toolkit already installed."
+        return
+    fi
+
+    . /etc/os-release
+
+    OS_NAME=$ID
+    OS_VERSION=$VERSION_ID
+
+    info "Installing NVIDIA Container Toolkit..."
+    case $OS_NAME in
+            amzn|fedora|rocky|centos|rhel) install_container_toolkit_yum ;;
+            debian|ubuntu) install_container_toolkit_apt ;;
+            opensuse|suse) install_container_toolkit_zypper ;;
+            *) exit ;;
+    esac
+}
+
+# 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() {
+    info '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)
+            info '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
+
+    info '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() {
+    info '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)
+            info '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
+
+    info '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 $SUDO_E apt-get -y install cuda-drivers -q
+}
+
+install_cuda() {
+    if [ ! -f "/etc/os-release" ]; then
+        fatal "Unknown distribution. Skipping CUDA installation."
+    fi
+
+    . /etc/os-release
+
+    OS_NAME=$ID
+    OS_VERSION=$VERSION_ID
+
+    if [ -z "$PACKAGE_MANAGER" ]; then
+        fatal "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 info | awk -F: '/added/ { print $1 }')
+        if [ -n "$NVIDIA_CUDA_VERSION" ]; then
+            $SUDO dkms install $NVIDIA_CUDA_VERSION
+        fi
+
+        if lsmod | grep -q nouveau; then
+            info '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 "$MODULE" | sudo tee -a /etc/modules-load.d/nvidia.conf > /dev/null
+            fi
+        done
+    fi
+
+    info "NVIDIA GPU ready."
+    install_success
+
+}
+
+install_amd() {
+    # Look for pre-existing ROCm v6 before downloading the dependencies
+    for search in "${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
+            info "Compatible AMD GPU ROCm library detected at ${search}"
+            install_success
+            exit 0
+        fi
+    done
+
+    info "AMD GPU ready."
+    exit 0
+}
+
+install_docker() {
+    [ "$(uname -s)" = "Linux" ] || fatal 'This script is intended to run on Linux only.'
+
+    if ! available docker; then
+        info "Installing Docker..."
+        curl -fsSL https://get.docker.com | sh
+    fi
+
+    # Check docker is running
+    if ! $SUDO systemctl is-active --quiet docker; then
+        info "Starting Docker..."
+        $SUDO systemctl start docker
+    fi
+
+    info "Starting LocalAI Docker container..."
+    # Create volume if doesn't exist already
+    if ! $SUDO docker volume inspect local-ai-data > /dev/null 2>&1; then
+        $SUDO docker volume create local-ai-data
+    fi
+
+    # Check if container is already runnning
+    if $SUDO docker ps -a --format '{{.Names}}' | grep -q local-ai; then
+        info "LocalAI Docker container already exists, replacing it..."
+        $SUDO docker rm -f local-ai
+        # # Check if it is running
+        # if $SUDO docker ps --format '{{.Names}}' | grep -q local-ai; then
+        #     info "LocalAI Docker container is already running."
+        #     exit 0
+        # fi 
+
+        # info "Starting LocalAI Docker container..."
+        # $SUDO docker start local-ai
+        # exit 0
+    fi
+
+    IMAGE_TAG=
+    if [ "$HAS_CUDA" ]; then
+        IMAGE_TAG=${VERSION}-cublas-cuda12-ffmpeg
+        # CORE
+        if [ "$CORE_IMAGES" = true ]; then
+            IMAGE_TAG=${VERSION}-cublas-cuda12-ffmpeg-core
+        fi
+        # AIO
+        if [ "$USE_AIO" = true ]; then
+            IMAGE_TAG=${VERSION}-aio-gpu-nvidia-cuda-12
+        fi
+
+        if ! available nvidia-smi; then
+            info "Installing nvidia-cuda-toolkit..."
+            # TODO:
+            $SUDO apt-get -y install nvidia-cuda-toolkit
+        fi
+
+        $SUDO docker run -v local-ai-data:/build/models \
+            --gpus all \
+            --restart=always \
+            -e API_KEY=$API_KEY \
+            -e THREADS=$THREADS \
+            -d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
+    elif [ "$HAS_AMD" ]; then
+        IMAGE_TAG=${VERSION}-hipblas-ffmpeg
+        # CORE
+        if [ "$CORE_IMAGES" = true ]; then
+            IMAGE_TAG=${VERSION}-hipblas-ffmpeg-core
+        fi
+        # AIO
+        if [ "$USE_AIO" = true ]; then
+            IMAGE_TAG=${VERSION}-aio-gpu-hipblas
+        fi
+
+        $SUDO docker run -v local-ai-data:/build/models \
+            --device /dev/dri \
+            --device /dev/kfd \
+            --restart=always \
+            -e API_KEY=$API_KEY \
+            -e THREADS=$THREADS \
+            -d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
+    elif [ "$HAS_INTEL" ]; then
+        IMAGE_TAG=${VERSION}-sycl-f32-ffmpeg
+        # CORE
+        if [ "$CORE_IMAGES" = true ]; then
+            IMAGE_TAG=${VERSION}-sycl-f32-ffmpeg-core
+        fi
+        # AIO
+        if [ "$USE_AIO" = true ]; then
+            IMAGE_TAG=${VERSION}-aio-gpu-intel-f32
+        fi
+
+        $SUDO docker run -v local-ai-data:/build/models \
+            --device /dev/dri \
+            --restart=always \
+            -e API_KEY=$API_KEY \
+            -e THREADS=$THREADS \
+            -d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
+    else
+        IMAGE_TAG=${VERSION}-ffmpeg
+        # CORE
+        if [ "$CORE_IMAGES" = true ]; then
+            IMAGE_TAG=${VERSION}-ffmpeg-core
+        fi
+        # AIO
+        if [ "$USE_AIO" = true ]; then
+            IMAGE_TAG=${VERSION}-aio-cpu
+        fi        
+        $SUDO docker run -v local-ai-data:/models \
+                --restart=always \
+                -e MODELS_PATH=/models \
+                -e API_KEY=$API_KEY \
+                -e THREADS=$THREADS \
+                -d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
+    fi
+
+    install_success
+    exit 0
+}
+
+install_binary_darwin() {
+    [ "$(uname -s)" = "Darwin" ] || fatal 'This script is intended to run on macOS only.'
+
+    info "Downloading local-ai..."
+    curl --fail --show-error --location --progress-bar -o $TEMP_DIR/local-ai "https://github.com/mudler/LocalAI/releases/download/v${VERSION}/local-ai-Darwin-${ARCH}"
+
+    info "Installing local-ai..."
+    install -o0 -g0 -m755 $TEMP_DIR/local-ai /usr/local/bin/local-ai
+
+    install_success
+}
+
+install_binary() {
+    [ "$(uname -s)" = "Linux" ] || fatal 'This script is intended to run on Linux only.'
+
+    ARCH=$(uname -m)
+    case "$ARCH" in
+        x86_64) ARCH="x86_64" ;;
+        aarch64|arm64) ARCH="arm64" ;;
+        *) fatal "Unsupported architecture: $ARCH" ;;
+    esac
+
+    IS_WSL2=false
+
+    KERN=$(uname -r)
+    case "$KERN" in
+        *icrosoft*WSL2 | *icrosoft*wsl2) IS_WSL2=true;;
+        *icrosoft) fatal "Microsoft WSL1 is not currently supported. Please upgrade to WSL2 with 'wsl --set-version <distro> 2'" ;;
+        *) ;;
+    esac
+
+
+    NEEDS=$(require curl awk grep sed tee xargs)
+    if [ -n "$NEEDS" ]; then
+        info "ERROR: The following tools are required but missing:"
+        for NEED in $NEEDS; do
+            echo "  - $NEED"
+        done
+        exit 1
+    fi
+
+    info "Downloading local-ai..."
+    curl --fail --location --progress-bar -o $TEMP_DIR/local-ai "https://github.com/mudler/LocalAI/releases/download/${VERSION}/local-ai-Linux-${ARCH}"
+
+    for BINDIR in /usr/local/bin /usr/bin /bin; do
+        echo $PATH | grep -q $BINDIR && break || continue
+    done
+
+    info "Installing local-ai to $BINDIR..."
+    $SUDO install -o0 -g0 -m755 -d $BINDIR
+    $SUDO install -o0 -g0 -m755 $TEMP_DIR/local-ai $BINDIR/local-ai
+
+    verify_system
+    if [ "$HAS_SYSTEMD" == "true" ]; 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
+            info "Nvidia GPU detected."
+        fi
+        install_success
+        exit 0
+    fi
+
+    # Install GPU dependencies on Linux
+    if ! available lspci && ! available lshw; then
+        warn "Unable to detect NVIDIA/AMD GPU. Install lspci or lshw to automatically detect and install GPU dependencies."
+        exit 0
+    fi
+
+    # ! check_gpu lspci nvidia && ! check_gpu lshw nvidia && ! check_gpu lspci amdgpu && ! check_gpu lshw amdgpu; then
+
+    if [ "$HAS_AMD" = true ]; then
+        install_amd
+    fi
+
+    if [ "$HAS_CUDA" = true ]; then
+        if check_gpu nvidia-smi; then
+            info "NVIDIA GPU installed."
+            exit 0
+        fi
+
+        install_cuda
+    fi
+
+    install_success
+    warn "No NVIDIA/AMD GPU detected. LocalAI will run in CPU-only mode."
+    exit 0
+}
+
+OS="$(uname -s)"
+
+if [ "$OS" == "Darwin" ]; then
+    install_binary_darwin
+    exit 0
+fi
+
+if check_gpu lspci amdgpu || check_gpu lshw amdgpu; then
+    HAS_AMD=true
+fi
+
+if check_gpu lspci nvidia || check_gpu lshw nvidia; then
+    HAS_CUDA=true
+fi
+
+if check_gpu lspci intel || check_gpu lshw intel; then
+    HAS_INTEL=true
+fi
+
+SUDO=
+if [ "$(id -u)" -ne 0 ]; then
+    # Running as root, no need for sudo
+    if ! available sudo; then
+        fatal "This script requires superuser permissions. Please re-run as root."
+    fi
+
+    SUDO="sudo"
+fi
+
+PACKAGE_MANAGER=
+for PACKAGE_MANAGER in dnf yum apt-get; do
+    if available $PACKAGE_MANAGER; then
+        break
+    fi
+done
+
+if [ "$DOCKER_INSTALL" = "true" ]; then
+    install_container_toolkit
+    install_docker
+else
+    install_binary
+fi
+