Auto-configure AMD GPUs for local AI workloads
Detects AMD GPUs, fixes ROCm environment overrides, and benchmarks AI backends to eliminate setup errors in seconds.
1.0.0Add to Favorites
Why it matters
Eliminate cryptic ROCm errors and CPU fallbacks when running local AI models on AMD GPUs by auto-detecting hardware, applying correct environment overrides, and benchmarking backends to ensure optimal performance.
Outcomes
What it gets done
Detect AMD GPU model and apply HSA_OVERRIDE_GFX_VERSION to shell configs
Run health diagnostics on drivers, HIP SDK, and Vulkan API
Benchmark Vulkan vs HIP backends to identify fastest inference path
Generate troubleshooting reports and manage GPU database updates
Source
Get it from source
Spark does not host a copy of it.
Open sourceReports
Agent outcome reports
No reports yet
Overview
Rocmfix
ROCmFix is a single-file Python diagnostic tool that auto-detects AMD RDNA GPUs and suggests the correct HSA_OVERRIDE_GFX_VERSION environment variable for ROCm configuration. It includes commands for health checks, HIP SDK installation on Windows, system report generation, backend benchmarking, and safe override reversal. The tool syncs a live community GPU database daily and requires no pip installs or virtual environments. Use ROCmFix when you need to configure HSA_OVERRIDE_GFX_VERSION for llama.cpp, Ollama, LM Studio, or PyTorch on AMD RX 6000/7000/9000 series GPUs. Run it to test whether Vulkan or HIP delivers better performance for your specific card and workload, or to check for missing drivers and SDK components before troubleshooting.
What it does
ROCmFix is a zero-install Python diagnostic and configuration tool that detects your AMD GPU model and suggests the correct HSA_OVERRIDE_GFX_VERSION environment variable override for ROCm compatibility. The tool can modify shell configurations (CMD, PowerShell, Bash, Zsh, Fish), run diagnostics on drivers and SDKs, and includes a self-updater that syncs a live community GPU database daily. It includes a benchmarking command that tests Vulkan and HIP backends with llama.cpp-based tools.
When to use - and when NOT to
Use ROCmFix when you need to configure ROCm environment variables for llama.cpp, Ollama, LM Studio, or PyTorch on AMD RDNA4 (RX 9070/9060), RDNA3 (RX 7000), or RDNA2 (RX 6000) GPUs. Run it before installing the HIP SDK on Windows to check your hardware setup, or after installation to verify configuration. Use rocmfix bench to test Vulkan versus HIP performance for your specific card and workload. Do NOT use this tool if you are running NVIDIA GPUs or if your AMD GPU is already working correctly with ROCm without overrides. Skip the HIP installation step if you only need Vulkan support for LLM inference on Windows.
Inputs and outputs
You provide the Python script (single file, no dependencies) and run commands like python rocmfix.py, rocmfix doctor, or rocmfix bench. The tool automatically detects your GPU via system queries. For benchmarking, it temporarily isolates Ollama or LM Studio and runs a 10-second generation test. The tool can modify your shell configuration with override values, generate diagnostic reports, produce benchmark timing results, and create a Markdown system report for troubleshooting posts.
Integrations
ROCmFix integrates with llama.cpp-based tools (Ollama, LM Studio) for backend benchmarking, PyTorch for ROCm environment configuration, AMD HIP SDK (downloads and launches the official Windows installer via rocmfix install-hip), and shell environments (CMD, PowerShell, Bash, Zsh, Fish) for persistent override application. It fetches GPU data from a live community database and includes opt-in telemetry functionality.
Installation and usage
Download the single Python file with one command:
curl -O https://raw.githubusercontent.com/xanpavle/rocmfix/main/rocmfix.py
On Windows PowerShell:
Invoke-WebRequest -Uri "https://raw.githubusercontent.com/xanpavle/rocmfix/main/rocmfix.py" -OutFile "rocmfix.py"
Run the tool:
python rocmfix.py
The default command detects your GPU, suggests the override, and auto-applies it. Use rocmfix doctor for a full diagnostic scan, rocmfix bench to compare Vulkan and HIP performance, rocmfix undo to revert changes, and rocmfix list to see all 17+ supported GPUs. The tool requires Python 3.10+ and works on Windows and Linux with no pip installs or virtual environments.
Who it's for
ROCmFix is built for local AI enthusiasts and developers running LLMs or Stable Diffusion on consumer AMD GPUs who need ROCm environment configuration. It serves Windows users setting up the HIP SDK, Linux users needing quick override configuration, and anyone working with llama.cpp-based tools on AMD hardware. The tool differs from manual override guides by automating detection, providing a live GPU database, and offering backend benchmarking capabilities.
Source README
๐ง ROCmFix
Auto-detect your AMD GPU, fix ROCm overrides, and benchmark your AI backends in seconds.
One file. Zero installs. No pip. No venv. Just run it.
โ What is this?
Running local AI (llama.cpp, Ollama, LM Studio, PyTorch) on AMD GPUs often leads to cryptic errors like HSA_STATUS_ERROR_INVALID_ISA or silent fallbacks to CPU. Usually, you just need to set the HSA_OVERRIDE_GFX_VERSION environment variable.
ROCmFix detects your exact AMD GPU, checks a live community database, automatically applies the correct shell environment override, and runs health diagnostics to ensure your setup is ready.
โจ Features
- Auto-Apply & Undo: Automatically modifies CMD, PowerShell, Bash, Zsh, or Fish configs to apply overrides safely.
rocmfix doctor: Scans your hardware, Adrenalin drivers, HIP SDK, and Vulkan API to diagnose issues.rocmfix bench: A 10-second backend race! Temporarily isolates Ollama or LM Studio, runs a generation test using Vulkan, then HIP, and tells you which is faster on your PC.rocmfix install-hip: Missing the HIP SDK on Windows? This safely downloads and launches the official AMD installer for you.- Live Database & Self-Updater: Fetches new GPUs from the cloud daily, and updates itself via
rocmfix update. - Export System Report: Generate a Markdown file of your setup for Reddit/Discord help posts.
๐ Quick Start
Download (One Command)
Windows PowerShell:
Invoke-WebRequest -Uri "https://raw.githubusercontent.com/xanpavle/rocmfix/main/rocmfix.py" -OutFile "rocmfix.py"
Linux / macOS:
curl -O https://raw.githubusercontent.com/xanpavle/rocmfix/main/rocmfix.py
Run
python rocmfix.py
๐ Commands
| Command | What it does |
|---|---|
rocmfix |
Detect GPU, suggest override, and auto-apply |
rocmfix doctor |
Full health check of drivers, HIP, and Vulkan |
rocmfix bench |
Benchmark Vulkan vs HIP/ROCm in LM Studio or Ollama |
rocmfix install-hip |
Download and install the AMD HIP SDK (Windows) |
rocmfix export |
Generate a Markdown system report for troubleshooting |
rocmfix update |
Update ROCmFix to the latest version from GitHub |
rocmfix sync |
Force-fetch the latest GPU database from the community server |
rocmfix test |
Smoke test current override to see if ROCm/HIP detects it |
rocmfix undo |
Safely revert the last auto-applied override |
rocmfix list |
Show all 17+ GPUs currently supported in the database |
rocmfix telemetry |
Manage your anonymous benchmark sharing settings |
rocmfix install |
Install rocmfix as a global command on your system |
๐ฎ Supported GPUs
ROCmFix supports RDNA4 (RX 9070/9060 series), RDNA3 (RX 7000 series), RDNA2 (RX 6000 series), and Integrated Graphics.
New GPUs are synced automatically from our live database without needing to update the app!
Don't see your card? Run python rocmfix.py - it will generate a pre-filled GitHub issue link so you can contribute your GPU!
๐ฅ HIP vs Vulkan - Which should I use?
If you're running llama.cpp / LM Studio / Ollama on a consumer AMD card (especially on Windows):
| Vulkan | HIP / ROCm | |
|---|---|---|
| Setup | โ Zero config | โ ๏ธ Needs HIP SDK + overrides |
| Windows | โ Works out of the box | โ ๏ธ HIP SDK still maturing |
| Linux | โ Good | โ Better |
| Consumer RDNA3 perf | โ Often faster | โ ๏ธ Sometimes slower |
| PyTorch support | โ Limited | โ Full support |
TL;DR
- Running LLMs on Windows? โ Try Vulkan first. Run
rocmfix benchto verify. - PyTorch / Stable Diffusion? โ Run
rocmfix install-hip, then apply the override ROCmFix gives you.
๐ Privacy & Telemetry
ROCmFix includes an opt-in telemetry system to help grow the community database.
If enabled, ROCmFix securely sends your GPU model, driver version, OS, and benchmark results to a private collector. We never collect usernames, IPs, file paths, or AI prompts. Read the full details in PRIVACY.md.
๐ License
This project is licensed under the MIT License - see the LICENSE file for details.
Made for the local AI community by xanpavle
Discussion
Questions & comments ยท 0
Sign In Sign in to leave a comment.