LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
InternLM/lmdeploy is drawing steady momentum at +2.6 stars/day (44th percentile in the tracked cohort), for a momentum score of 46.9/100. A recent release is helping fuel the run.
Reconstructed from 352 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 70.
Release count rose to 69.
Release count rose to 68.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/InternLM/lmdeploy)Low breakout odds over the next 14 days, led by push recency (93th pctl) and fork velocity (62th 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.