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How to build Gufo from source with Nix and run diagnostics with Gufo

Compile the production package with Nix, check the Strix Halo setup, and start a local model.

Short answer: Clone the Gufo repo and run nix build in its root to build the production package; then run ./result/bin/gufo diagnose to check the GPU and runtime setup; run ./result/bin/gufo serve llm --model /path/to/model.gguf with your own GGUF model file. All steps.

Who it is forA Linux engineer on Strix Halo who wants a reproducible build or needs to debug GPU access before serving models.

The problemROCm and GPU setup on Strix Halo is fragile, and a manual build can drift from the tested toolchain.

The outcomeA built Gufo binary that reports the device status and serves a local GGUF model.

What you need first

  • Linux x86-64 machine with AMD Strix Halo (gfx1151) and enough unified memory for the chosen model
  • Podman with rootless GPU device access to /dev/kfd and /dev/dri
  • Hugging Face CLI (hf) to download model weights
  • Several tens of GB of free disk space for model files

Steps

  1. Clone the Gufo repo and run nix build in its root to build the production package.
  2. Run ./result/bin/gufo diagnose to check the GPU and runtime setup.
  3. Run ./result/bin/gufo serve llm --model /path/to/model.gguf with your own GGUF model file.
  4. If the build needs the development tools, run nix develop as the README describes for profiling and model download tools. (inferred, check the README)

Prompt for your agent

Clone the gufo repo, run nix build, then run ./result/bin/gufo diagnose and report its full output. Start ./result/bin/gufo serve llm --model <path to GGUF file> and confirm the server reports it is listening.

Caveat. The README states the Nix package includes a ROCr 7.2.3 patch for Strix Halo, so a build on other GPU or ROCm setups is outside the documented target.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for gufo-org/gufo and "Build Gufo from source with Nix and run diagnostics"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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