hogeheer499-commits / strix-halo-guide
Evidence-backed AMD Strix Halo local-AI setup and benchmarks: Qwen3.8, Ollama, llama.cpp, Vulkan/ROCm, large GGUFs, and cross-OEM results.
Why this job: says: llama.cpp; topics: llama-cpp, ollama, local-llm, gguf, local-ai
What it does
Get a local AI model running on your AMD Strix Halo / Ryzen AI MAX+ 395 (Radeon 8060S) under Ubuntu 24.04, with settings measured on real hardware. Along the way you check a known answer and look at the GPU memory allocation that Ollama reports. Then pick the right model for your work and make it faster.
Get started
git clone https://github.com/hogeheer499-commits/strix-halo-guide
cd strix-halo-guide
bash setup.sh - Maintenance
- Active
- Last commit today
- Stars
- 371
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.1.0
- Released 38 days ago
- Built with
- Python
- 63% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 61% closed
- 9 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- 7
- 7 in the last year
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More: languages, topics, project record and preview image
Languages
- Python 63%
- Shell 31%
- HTML 6%
- Makefile <1%
Topics
- amd
- benchmark
- gfx1151
- llama-cpp
- llm
- local-llm
- rocm
- ryzen-ai-max
- strix-halo
- vulkan
- gguf
- mini-pc
Project record
- JobLocal LLMs
- StatusListed
- Commits298
- Forks27
- Watching8
- Stars in 28 days+14
- CreatedMar 11, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026