feat: GPU detection for LLM server (NVIDIA/AMD/Intel/Vulkan + CPU fallback)
- Added start-llama-server.bat with cross-brand GPU auto-detection: * Detection 1: nvidia-smi for NVIDIA * Detection 2: WMIC for AMD, Intel Arc, Intel HD/Iris/UHD * Detection 3: vulkaninfo as final fallback probe * Falls back to CPU-only build when no GPU found - Downloaded llama-server b9947 builds: * Vulkan build (91 MB) - supports all GPU brands * CPU build (45 MB) - fallback in cpu/ subdir - Downloaded Qwen2.5-Coder-1.5B Q4_K_M model (1.1 GB) - Fixed run-hermes.bat polling: replaces fixed 5s timeout with curl-based readiness polling (up to 30 attempts, 1s apart) - All .bat files verified: ASCII text, CRLF line terminators - Added .gitignore for build artifacts and large binaries
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@echo off
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:: ==============================================================================
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:: Hermes Portable Rescue - llama-server launcher with GPU detection
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:: ==============================================================================
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:: Detects GPU brand (NVIDIA, AMD, Intel, integrated) and launches the
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:: appropriate llama-server build (Vulkan for GPU, CPU-only fallback).
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:: ==============================================================================
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setlocal enabledelayedexpansion
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cd /d "%~dp0"
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set LLAMA_DIR=%~dp0bin\llama
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set MODEL_DIR=%~dp0bin\ollama
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set MODEL=%MODEL_DIR%\qwen2.5-coder-1.5b-q4_k_m.gguf
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set PORT=11434
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set GPU_FOUND=0
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echo.
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echo ============================================
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echo Hermes LLM Server - GPU Detection
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echo ============================================
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echo.
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:: --- Detection 1: nvidia-smi (NVIDIA) --------------------------------------
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nvidia-smi >nul 2>&1
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if !errorlevel! equ 0 (
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for /f "tokens=*" %%a in ('nvidia-smi --query-gpu=name --format=csv,noheader 2^>nul') do (
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set GPU_NAME=%%a
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)
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echo [OK] NVIDIA GPU detected: !GPU_NAME!
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set GPU_FOUND=1
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)
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:: Detection 2: WMIC - check for AMD/Intel GPUs
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if !GPU_FOUND! equ 0 (
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wmic path win32_videocontroller get name 2>nul | findstr /i "nvidia" >nul
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if !errorlevel! equ 0 (
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echo [OK] NVIDIA GPU detected via WMI
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set GPU_FOUND=1
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) else (
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wmic path win32_videocontroller get name 2>nul | findstr /i "amd radeon" >nul
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if !errorlevel! equ 0 (
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echo [OK] AMD GPU detected via WMI
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set GPU_FOUND=1
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) else (
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wmic path win32_videocontroller get name 2>nul | findstr /i "intel arc" >nul
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if !errorlevel! equ 0 (
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echo [OK] Intel GPU detected via WMI
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set GPU_FOUND=1
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) else (
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wmic path win32_videocontroller get name 2>nul | findstr /i "intel hd intel iris intel uhd" >nul
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if !errorlevel! equ 0 (
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echo [OK] Intel integrated graphics detected via WMI
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set GPU_FOUND=1
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)
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)
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)
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)
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)
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:: Detection 3: vulkaninfo (direct Vulkan probe)
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if !GPU_FOUND! equ 0 (
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where vulkaninfo >nul 2>&1
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if !errorlevel! equ 0 (
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vulkaninfo --summary 2>nul | findstr /c:"Vulkan Instance" >nul
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if !errorlevel! equ 0 (
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echo [OK] Vulkan-capable device detected
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set GPU_FOUND=1
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)
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)
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)
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:: Check model exists
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if not exist "!MODEL!" (
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echo [ERROR] Model not found: !MODEL!
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echo.
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echo Please download a GGUF model and place it at:
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echo !MODEL!
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echo.
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echo Recommended: Qwen 2.5 Coder 1.5B Q4_K_M
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echo https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct-GGUF
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echo.
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pause
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exit /b 1
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)
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:: Launch
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if !GPU_FOUND! equ 1 (
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echo.
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echo [*] Starting llama-server with GPU acceleration (Vulkan)...
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echo [*] Model: qwen2.5-coder-1.5b-q4_k_m.gguf
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echo [*] Server: http://127.0.0.1:!PORT!/v1
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echo [*] Flags: --n-gpu-layers 99 --mlock --cont-batching -c 4096
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echo.
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echo [*] Press Ctrl+C to stop the server.
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echo.
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"!LLAMA_DIR!\llama-server.exe" ^
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--host 127.0.0.1 --port !PORT! ^
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-m "!MODEL!" ^
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--n-gpu-layers 99 ^
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--mlock ^
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--cont-batching ^
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-c 4096
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) else (
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echo.
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echo [*] No compatible GPU found. Starting CPU-only mode.
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echo [*] Model: qwen2.5-coder-1.5b-q4_k_m.gguf
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echo [*] Server: http://127.0.0.1:!PORT!/v1
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echo [*] Flags: --mlock --cont-batching -c 4096
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echo.
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echo [*] Press Ctrl+C to stop the server.
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echo.
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"!LLAMA_DIR!\cpu\llama-server-cpu.exe" ^
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--host 127.0.0.1 --port !PORT! ^
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-m "!MODEL!" ^
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--mlock ^
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--cont-batching ^
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-c 4096
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)
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echo.
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echo [*] Server exited with code !errorlevel!
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pause
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