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How to run Qwen3.8 27B as a private local API on Strix Halo with Gufo

Download the model and start a local OpenAI-compatible chat endpoint on port 8080 in one container.

Short answer: Run hf download unsloth/Qwen3.8-27B-GGUF Qwen3.8-27B-UD-Q8_K_XL.gguf --revision 4ca720788d1e01f1bff70c033e0d0028fd02e502 --repo-type model --local-dir models/Qwen3.8-27B-GGUF to get the main model file. All steps.

Who it is forA developer with a Strix Halo workstation who wants a private, self-hosted LLM endpoint for apps or chat tools.

The problemCloud model APIs send prompts off the machine, and running a large model locally needs GPU setup that is easy to get wrong.

The outcomeA running local server that answers chat requests at http://localhost:8080/v1 with the Qwen3.8 27B 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. Run hf download unsloth/Qwen3.8-27B-GGUF Qwen3.8-27B-UD-Q8_K_XL.gguf --revision 4ca720788d1e01f1bff70c033e0d0028fd02e502 --repo-type model --local-dir models/Qwen3.8-27B-GGUF to get the main model file. (inferred, check the README)
  2. Run hf download z-lab/Qwen3.8-27B-DFlash2-GGUF Qwen3.8-27B-DFlash2-Q4_K_M.gguf --revision 2d9571f8ce46e151f61c6499c99dee6079e1d610 --repo-type model --local-dir models/Qwen3.8-27B-DFlash2-GGUF to get the DFlash2 draft model. (inferred, check the README)
  3. Run podman pull ghcr.io/gufo-org/toolboxes/gufo-runtime:latest to fetch the Gufo runtime image.
  4. Run the podman run command from the README Quickstart with --device /dev/kfd, --device /dev/dri, -p 8080:8080, and gufo serve --host 0.0.0.0 --port 8080 llm using the two model paths and --speculative dflash2.
  5. Run curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{"model": "Qwen3.8-27B-UD-Q8_K_XL", "messages": [{"role": "user", "content": "Say something"}]}' from a second terminal to test it. (inferred, check the README)

Prompt for your agent

Using the gufo repo, help me serve the Qwen3.8 27B model on my Strix Halo machine at <host path to models folder>. Follow the Quickstart in the README, then send one chat request to http://localhost:8080/v1/chat/completions. Report the HTTP status and the reply text, and confirm the container logs show no ROCm device error.

Caveat. Gufo targets AMD Strix Halo (gfx1151) on Linux x86-64; the README does not claim support for other GPUs, and rootless Podman may need group and SELinux fixes described in the README before the GPU is visible.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for gufo-org/gufo and "Run Qwen3.8 27B as a private local API on Strix Halo"

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

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