Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
b4rtaz/distributed-llama is drawing steady momentum at +0.4 stars/day (19th percentile in the tracked cohort), for a momentum score of 34.5/100. Forks are climbing too, at +0.3/day.
Low breakout odds over the next 14 days, no signal is above the cohort median. Confidence is high given the available history.
Reconstructed from 175 snapshots — the time-series GitHub’s API doesn’t expose.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/b4rtaz/distributed-llama)Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.