[feat-windows] Add support for running on Windows OS

Author: stratika

llama-tornado

@@ -9,6 +9,7 @@ import os
 import subprocess
 import sys
 import time
+import platform
 from pathlib import Path
 from typing import List, Optional, Dict, Any
 from enum import Enum
@@ -44,6 +45,11 @@ class LlamaRunner:
                 print(f"Error: {name} path does not exist: {path}")
                 sys.exit(1)
 
+    @staticmethod
+    def module_path_colon_sep(paths: List[str]) -> str:
+        """Return OS-specific separator for Java module paths."""
+        return ";".join(paths) if platform.system() == "Windows" else ":".join(paths)
+
     def _build_base_command(self, args: argparse.Namespace) -> List[str]:
         """Build the base Java command with JVM options."""
         cmd = [
@@ -56,7 +62,7 @@ class LlamaRunner:
             "--enable-preview",
             f"-Djava.library.path={self.tornado_sdk}/lib",
             "-Djdk.module.showModuleResolution=false",
-            "--module-path", f".:{self.tornado_sdk}/share/java/tornado",
+            "--module-path", self.module_path_colon_sep([".", f"{self.tornado_sdk}/share/java/tornado"]),
         ]
 
         # TornadoVM configuration

set_paths.cmd

@@ -0,0 +1,29 @@
+@echo off
+REM ============================================
+REM Environment setup script for LLaMA3 + TornadoVM (Windows)
+REM ============================================
+
+REM Resolve the absolute path to this script's directory
+set "LLAMA_ROOT=%~dp0"
+set "LLAMA_ROOT=%LLAMA_ROOT:~0,-1%"
+
+REM Set TornadoVM root and SDK paths
+set "TORNADO_ROOT=%LLAMA_ROOT%\external\tornadovm"
+set "TORNADO_SDK=%TORNADO_ROOT%\bin\sdk"
+
+REM Add TornadoVM SDK and LLaMA3 bin to PATH
+set "PATH=%TORNADO_SDK%;%LLAMA_ROOT%\bin;%PATH%"
+
+REM Optional: Set JAVA_HOME if needed
+REM set "JAVA_HOME=C:\Path\To\GraalVM"
+REM set "PATH=%JAVA_HOME%\bin;%PATH%"
+
+echo [INFO] Environment configured for LLaMA3 with TornadoVM at: %TORNADO_ROOT%
+
+REM ===== Notes =====
+REM After running this script:
+REM 1. TornadoVM will be available for GPU computation
+REM 2. LLaMA3 command-line tools will be in your PATH
+REM 3. You can run LLaMA3 with GPU acceleration using TornadoVM
+REM
+REM To use this script: call set_paths.cmd