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Every published number comes from one phone and one laptop. This adds what a contributor needs to add a row from hardware we do not own, without reading code: - scripts/bench-report.sh runs the fixed README protocol on any Linux/macOS host (256 greedy tokens, the reference prompt, auto cache, 4 lanes, overlap, dense weights out of the page cache), records CPU / RAM / drive and the drive's measured O_DIRECT rate at 512 KiB requests from the model file itself, and prints the two markdown tables a report needs. Every figure is read from the CSV `# summary` trailer by key name. - .github/ISSUE_TEMPLATE/benchmark-report.yml collects hardware, model, engine version and the pasted tables; tok/s alone is not accepted as a row. - docs/community-benchmarks.md holds the protocol, the hardware wanted and why, the reference models in the catalog quants, the meaning of each column, and the results table seeded with the README rows. - README, CONTRIBUTING and the docs index point at it.
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1.5 KiB
Contributing
Thanks for your interest. BigMoeOnEdge stays deliberately small and disciplined.
Ground rules
- Never patch
third_party/llama.cppin-tree. Work through its public API. Keeping the submodule stock is the point of the project (seedocs/seam.md). - The byte-identity gates must pass. Streaming must stay lossless. Run
ctest --output-on-failurebefore opening a PR; if you change the streamer or the seam, say so in the PR and note the gate result. - No hardcoding. New MoE architectures are recipe rows (
docs/adding-a-model.md). - English everywhere. Conventional Commits. Match
.clang-format.
Getting set up
git clone --recursive https://github.com/Helldez/BigMoeOnEdge.git
cd BigMoeOnEdge
scripts/build-host.sh
cd build && ctest --output-on-failure
Good first contributions
- A benchmark on hardware we do not have. No code needed:
scripts/bench-report.sh MODEL.ggufruns the fixed protocol and prints the tables; open a benchmark report. Seedocs/community-benchmarks.mdfor the hardware list and what a row needs. - A new MoE architecture recipe + its gate (
docs/adding-a-model.md). - Read coalescing / expert-contiguous layout experiments (see
docs/roadmap.md).
PRs
Keep them focused. Describe what you measured if the change is performance-related, and on what hardware. Update the relevant doc in the same PR as the code.