Benchmark Gemma models across hardware tiers, backends, and quantizations. Document what actually works, how fast, and at what quality. No opinions without data.
gemmaclaw benchmark submit to contribute results via PRgemmaclaw benchmark works end-to-end.Build the auto-detection and profile-selection tooling. Ship a gemmaclaw doctor command and tested profiles that work out of the box.
gemmaclaw setup wizard with auto and advanced modescreate, list, chat --agent, messagegemmaclaw setup auto-detects and provisions. Multi-instance agent management shipped.Open the profile registry to contributions. Users report what works on their hardware, profiles get refined, coverage grows.
CPU-only is a first-class path, not a fallback afterthought. Gemma 2 and Gemma 3 run on CPU via gemma.cpp. As CPU backends add Gemma 4 support, Gemmaclaw will incorporate those profiles automatically. The goal is that someone with a laptop and no discrete GPU gets a useful local Gemma assistant.
Gemmaclaw is composed of volunteers, including Google engineers and open source community members. It is not an official Google repository. Contributions and hardware reports are welcome. See the contributing guide.