llm-speed publishes measured local LLM benchmarks
llm-speed is an open-source leaderboard for measured local LLM inference speed across models, hardware, and runtimes. Its signed runs report decode throughput, prefill speed, time to first token, and reproducible configuration details.
The valuable contribution is turning scattered “my GPU gets X tok/s” claims into auditable, comparable measurements.
- –Fixed workloads and pinned model digests make cross-machine comparisons more meaningful
- –Reporting decode, prefill, and TTFT avoids reducing real inference performance to one misleading number
- –Ed25519-signed submissions improve provenance, though they do not independently verify hardware or output quality
- –The open CLI and CC BY dataset make the project useful for hardware buying guides, local deployment planning, and reproducible research
DISCOVERED
1h ago
2026-10-19
PUBLISHED
1h ago
2026-10-19
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