A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
xLLM-AI/xllm is drawing steady momentum at +0.7 stars/day (25th percentile in the tracked cohort), for a momentum score of 48.3/100. A recent release is helping fuel the run.
Reconstructed from 150 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 11.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/xLLM-AI/xllm)Low breakout odds over the next 14 days, led by push recency (98th pctl). Confidence is high given the available history.
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.