Thank you all for your incredible support! I am committed to maintaining this project to the best of my ability.
However, I have recently upgraded my primary desktop PC to an NVIDIA RTX 5070 Ti (It's awesome :D). This means I can no longer personally test the installer on a dedicated AMD graphics card. My development and testing will now rely on the official documentation from the ollama-for-amd repository and my laptop, which runs a Ryzen 6800H APU with 680M graphics (gfx1036). While this allows me to validate functionality for many APU users, I appreciate your understanding and welcome community feedback, especially for dGPU-related issues.
This tool simplifies the installation and management of the community-driven ollama-for-amd library. It provides a user-friendly graphical interface to automate the complex process of injecting ROCm libraries into the official Ollama application, ensuring your AMD hardware works seamlessly.
- Automated Workflow: Supports full installation (Official App + AMD Libraries) or simple library injection for existing setups.
- Auto-Detection: Built-in hardware scanner to identify your AMD GPU and automatically select the correct ROCm architecture profile.
- Smart Downloader: Handles complex network conditions, including automatic bypass for official downloads and robust error handling for corrupted packages.
- Troubleshooting Tools:
- One-click fix for the common
0xc0000005runtime error. - Vulkan mode configuration utility.
- One-click fix for the common
- Network Optimization: Built-in proxy tester to verify and select the fastest connection mirror for GitHub downloads.
- Modern Interface: Clean, native-style GUI with real-time console logging for better visibility during installation.
The easiest way to get started is to download the latest Ollama-For-AMD-Installer.exe from the Releases Page.
-
Clone the repository:
git clone https://github.com/ByronLeeeee/Ollama-For-AMD-Installer.git cd Ollama-For-AMD-Installer -
Install dependencies:
pip install -r requirements.txt
Prerequisites: Python 3.10+.
- Run as Administrator: The application requires administrative privileges to replace system DLLs within the Ollama installation directory.
- GPU Configuration:
- Click "Auto-Detect" to have the app identify your AMD hardware, or choose manually from the dropdown list.
- Choose an Action:
- 1. Full Install: Downloads the official Ollama app and injects the necessary AMD libraries.
- 2. Inject AMD Libs Only: Use this if you have already installed the official Ollama app and just need to replace the ROCm files.
- 3. Force Vulkan Mode: A utility to enable Vulkan acceleration if your GPU is not detected via ROCm.
- Network Setup: If the download fails, use the "Proxy & Network Settings" section to test available mirrors and select a faster, more stable endpoint.
Contributions are always welcome! Please feel free to open an issue or submit a pull request to:
- Report bugs or suggest improvements.
- Request new features or library support.
- Enhance the documentation.
This project is licensed under the MIT License. See the LICENSE file for details.