diff --git a/install.ps1 b/install.ps1
index 70c3aad..9d69c5c 100644
--- a/install.ps1
+++ b/install.ps1
@@ -16,58 +16,84 @@ if ($env:PROCESSOR_ARCHITECTURE -eq 'AMD64') {
 }
 
 # Download URL Construction
-$version = "1.0-rc3"
+$version = "1.0"
 $base_url = "https://github.com/yusufcanb/tlm/releases/download"
 $download_url = "${base_url}/${version}/tlm_${version}_${os}_${arch}.exe"
 
+# Ollama check
+$ollamaHost = $env:OLLAMA_HOST
+if (-not $ollamaHost) {
+    $ollamaHost = "http://localhost:11434"
+}
 
-# Ollama check - For Windows, we'll assume Ollama is installed directly on the system
 try {
-    Invoke-WebRequest -Uri "http://localhost:11434" -UseBasicParsing -ErrorAction Stop | Out-Null
+    Invoke-WebRequest -Uri $ollamaHost -UseBasicParsing -ErrorAction Stop | Out-Null
 } catch {
     Write-Host "ERR: Ollama not found." -ForegroundColor red
+    Write-Host "If you have Ollama installed, please make sure it's running and accessible at $ollamaHost" -ForegroundColor red
+    Write-Host "or configure OLLAMA_HOST environment variable." -ForegroundColor red
+    Write-Host ""
+    Write-Host ">>> If have Ollama on your system or network, you can set the OLLAMA_HOST like below;"
+    Write-Host "    `$env:OLLAMA_HOST` = 'http://localhost:11434'"
+    Write-Host ""
+    Write-Host ""
+    Write-Host ">>> If you don't have Ollama installed, you can install it using the following methods;"
     Write-Host ""
-    Write-Host "*** On Windows: ***" -ForegroundColor green
+    Write-Host "    *** Windows: ***" -ForegroundColor green
+    Write-Host "    Download instructions can be followed at the following link: https://ollama.com/download"
     Write-Host ""
-    Write-Host "Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs."
-    Write-Host "To get started using the Docker image, please follow these steps:"
+    Write-Host "    *** Official Docker Images: ***" -ForegroundColor green
     Write-Host ""
-    Write-Host "1. *** CPU only: ***" -ForegroundColor green
-    Write-Host "   docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
+    Write-Host "    Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs."
+    Write-Host "    To get started using the Docker image, please follow these steps:"
     Write-Host ""
-    Write-Host "2. *** Nvidia GPU: ***" -ForegroundColor green
-    Write-Host "   docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
+    Write-Host "        1. *** CPU only: ***" -ForegroundColor green
+    Write-Host "            docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
+    Write-Host ""
+    Write-Host "        2. *** Nvidia GPU: ***" -ForegroundColor green
+    Write-Host "            docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
     Write-Host ""
     Write-Host ""
     Write-Host "Installation aborted." -ForegroundColor red
-    Write-Host "Please install Ollama using the methods above and try again." -ForegroundColor red
-    return -1
+    Write-Host "Please install or configure Ollama using the methods above and try again." -ForegroundColor red
+    return
+}
+
+# Create Application Directory
+$install_directory = "C:\Users\$env:USERNAME\AppData\Local\Programs\tlm"
+if (-not (Test-Path $install_directory)) {
+    New-Item -ItemType Directory -Path $install_directory | Out-Null
 }
 
 # Download the binary
 Write-Host "Downloading tlm version ${version} for ${os}/${arch}..."
 try {
-    Invoke-WebRequest -Uri $download_url -OutFile 'tlm.exe' -UseBasicParsing -ErrorAction Stop | Out-Null
+    Invoke-WebRequest -Uri $download_url -OutFile "$install_directory\tlm.exe" -UseBasicParsing -ErrorAction Stop | Out-Null
 } catch {
     Write-Error "Download failed. Please check your internet connection and try again."
     return -1
 }
 
-# Move to installation directory
-Write-Host "Installing tlm..."
-#try {
-#    Move-Item -Path 'tlm.exe' -Destination 'C:\Windows\Program Files\tlm\' -Force
-#} catch {
-#    Write-Error "Installation requires administrator permissions. Please elevate with rights and run the script again."
-#    exit 1
-#}
+# Add installation directory to PATH
+$env:Path += ";$install_directory"
 
-# Ollama deployment - specific to the original script, might need modification
+# Configure tlm to use Ollama
 try {
-    .\tlm.exe deploy
+    ."$install_directory\tlm.exe" config set llm.host $ollamaHost
+} catch {
+    Write-Error "tlm config set llm.host failed."
+    return 1
+}
+
+# Deploy tlm
+try {
+
+    ."$install_directory\tlm.exe" deploy
 } catch {
     Write-Error "tlm deploy failed."
     return 1
 }
 
-Write-Host "Type '.\tlm.exe help' to get started."
\ No newline at end of file
+Write-Host ""
+Write-Host "Installation completed successfully."
+Write-Host "Type 'tlm help' to get started."
\ No newline at end of file
diff --git a/install.sh b/install.sh
index 0eb9a6f..b960b86 100644
--- a/install.sh
+++ b/install.sh
@@ -6,79 +6,117 @@ status() { echo ">>> $*" >&2; }
 error() { echo "ERROR $*"; }
 warning() { echo "WARNING: $*"; }
 
+print_message() {
+    local message="$1"
+    local color="$2"
+    echo -e "\e[${color}m${message}\e[0m"
+}
 
 # OS and Architecture Detection
 if [[ "$OSTYPE" == "linux-gnu"* ]]; then
-  os="linux"
+    os="linux"
 elif [[ "$OSTYPE" == "darwin"* ]]; then
-  os="darwin"
+    os="darwin"
 else
-  error "Unsupported operating system. Only Linux and macOS are currently supported."
-  exit 1
+    error "Unsupported operating system. Only Linux and macOS are currently supported."
+    exit 1
 fi
 
 if [[ "$(uname -m)" == "x86_64" ]]; then
-  arch="amd64"
+    arch="amd64"
 elif [[ "$(uname -m)" == "aarch64" || "$(uname -m)" == "arm64" ]]; then
-  arch="arm64"
+    arch="arm64"
 else
-  error "Unsupported architecture. tlm requires a 64-bit system (x86_64 or arm64)."
-  exit 1
+    error "Unsupported architecture. tlm requires a 64-bit system (x86_64 or arm64)."
+    exit 1
 fi
 
 # Download URL Construction
-version="1.0-rc3"
+version="1.0"
 base_url="https://github.com/yusufcanb/tlm/releases/download"
 download_url="${base_url}/${version}/tlm_${version}_${os}_${arch}"
 
+if [[ -v OLLAMA_HOST ]]; then
+    ollama_host=$OLLAMA_HOST
+else
+    ollama_host="http://localhost:11434"
+fi
 
 # Ollama check
-if ! curl -fsSL http://localhost:11434 &> /dev/null; then
-  error "Ollama not found."
-  if [[ "$os" == "darwin" ]]; then
-    status ""
-    status "*** On macOS: ***"
-    status ""
-    status "Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs."
-    status "To get started using the Docker image, please follow these steps:"
-    status ""
-    status "1. *** CPU only: ***"
-    status "   docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
-    status ""
-    status "2. *** GPU Acceleration: ***"
-    status "   This option requires running Ollama outside of Docker"
-    status "   To get started, simply download and install Ollama."
-    status "   https://ollama.com/download"
-    status ""
-    status ""
-    status "Installation aborted. Please install Ollama using the methods above and try again."
-    exit 1
+if ! curl -fsSL $ollama_host &>/dev/null; then
+    if [[ "$os" == "darwin" ]]; then
+        print_message "ERR: Ollama not found." "31" # Red color
+        print_message "If you have Ollama installed, please make sure it's running and accessible at ${ollama_host}" "31"
+        print_message "or configure OLLAMA_HOST environment variable." "31"
+        echo """
+>>> If have Ollama on your system or network, you can set the OLLAMA_HOST like below;
 
-  elif [[ "$os" == "linux" ]]; then
-    status ""
-    status "*** On Linux: ***"
-    status ""
-    status "Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs."
-    status "To get started using the Docker image, please follow these steps:"
-    status ""
-    status "1. *** CPU only: ***"
-    status "   docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
-    status ""
-    status "2. *** Nvidia GPU: ***"
-    status "   docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama"
-    status ""
-    status ""
-    status "Installation aborted. Please install Ollama using the methods above and try again."
-    exit 1
+    $ export OLLAMA_HOST=http://localhost:11434
+
+>>> If you don't have Ollama installed, you can install it using the following methods;
+
+    $(print_message "*** macOS: ***" "32")
+
+    Download instructions can be followed at the following link: https://ollama.com/download
+
+    $(print_message "*** Official Docker Images: ***" "32")
+
+    Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs.
+    To get started using the Docker image, please follow these steps:
+
+        $(print_message "1. *** CPU only: ***" "32")
+
+        $ docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+
+
+        $(print_message "2. *** Nvidia GPU: ***" "32")
+
+        $ docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+        """
+        print_message "Installation aborted..." "31"
+        print_message "Please install or configure Ollama using the methods above and try again." "31"
+        exit 1
+
+    elif [[ "$os" == "linux" ]]; then
+        print_message "ERR: Ollama not found." "31" # Red color
+        print_message "If you have Ollama installed, please make sure it's running and accessible at ${ollama_host}" "31"
+        print_message "or configure OLLAMA_HOST environment variable." "31"
+        echo """
+>>> If have Ollama on your system or network, you can set the OLLAMA_HOST like below;
 
-  fi
+    $ export OLLAMA_HOST=http://localhost:11434
+
+>>> If you don't have Ollama installed, you can install it using the following methods;
+
+    $(print_message "*** Linux: ***" "32")
+
+    Download instructions can be followed at the following link: https://ollama.com/download
+
+    $(print_message "*** Official Docker Images: ***" "32")
+
+    Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs.
+    To get started using the Docker image, please follow these steps:
+
+        $(print_message "1. *** CPU only: ***" "32")
+
+        $ docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+
+
+        $(print_message "2. *** Nvidia GPU: ***" "32")
+
+        $ docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+        """
+        print_message "Installation aborted..." "31"
+        print_message "Please install or configure Ollama using the methods above and try again." "31"
+        exit 1
+    fi
 fi
 
 # Download the binary
 status "Downloading tlm version ${version} for ${os}/${arch}..."
 if ! curl -fsSL -o tlm ${download_url}; then
-  error "Download failed. Please check your internet connection and try again."
-  exit 1
+    error "Download failed. Please check your internet connection and try again."
+    exit 1
 fi
 
 # Make executable
@@ -97,14 +135,21 @@ if [ "$(id -u)" -ne 0 ]; then
     SUDO="sudo"
 fi
 
-$SUDO mv tlm /usr/local/bin/;
+$SUDO mv tlm /usr/local/bin/
 
+# set ollama host
+if ! tlm config set llm.host ${ollama_host} &>/dev/null; then
+    error "tlm config set llm.host ${ollama_host} failed."
+    exit 1
+fi
+
+# deploy tlm modelfiles
 if ! tlm deploy; then
-  error ""
-  exit 1
+    error "tlm deploy ${ollama_host} failed."
+    exit 1
 else
-  echo ""
+    echo ""
 fi
 
 status "Type 'tlm' to get started."
-exit 0
\ No newline at end of file
+exit 0