Installation
System requirements
Section titled “System requirements”warpdrv works with any standard llama-server binary, so hardware compatibility tracks llama.cpp’s own support matrix:
| Backend | Hardware |
|---|---|
| CUDA | NVIDIA GPUs |
| ROCm | AMD GPUs |
| Vulkan | Any GPU (Intel, AMD, NVIDIA) |
| CPU | Any machine (no GPU required) |
Note: warpdrv does not bundle a llama.cpp binary. You’ll download or compile one separately — covered in the Downloading & running your first AI model guide.
Download
Section titled “Download”Head to the releases page and grab the latest build for your platform.
Install
Section titled “Install”.deb (Debian, Ubuntu, Mint):
sudo dpkg -i warpdrv_*.debRPM (Fedora, openSUSE, RHEL):
sudo rpm -i warpdrv_*.rpm.AppImage (any distro):
chmod +x warpdrv-*.AppImage./warpdrv-*.AppImageWindows
Section titled “Windows”Download the .msi installer and run it through the standard Windows installer wizard.
Note: The Recipes feature (automated llama.cpp builds) requires Bash. On Windows, install Git for Windows or use WSL to get a Bash environment.
No prebuilt binary is available yet. You’ll need to build from source — see the Compiling guide. Untested on Apple Silicon; contributions welcome.
First run
Section titled “First run”On first launch, warpdrv shows an onboarding welcome screen that walks you through:
- Adding a folder where your GGUF models live (or where to download them).
- Optionally installing a llama.cpp backend.
- A short slideshow of next steps.
See the Onboarding guide for a detailed walkthrough.
Where your data is stored
Section titled “Where your data is stored”- Config & data:
~/.config/warpcore/(Linux) — chat database, settings, MCP config, recipes. - Models: Stay in whatever folder you point warpdrv at. warpdrv only indexes them; it never moves or modifies your model files.
Your data is preserved across updates and reinstalls.
Updating
Section titled “Updating”warpdrv checks for updates on startup. If a new version is available, a banner appears at the top of the app. Click it to open the releases page, download the new version, and install. Your data is preserved.
Next steps
Section titled “Next steps”- Onboarding — a detailed walkthrough of the first-run setup.
- Downloading & running your first AI model — get a model running and chatting.