H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
h2oai/h2o-llmstudio is cooling — star growth is decelerating by -0.4/day, though it still holds a momentum score of 33.8/100. A recent release is helping fuel the run.
Reconstructed from 205 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 49.
Release count rose to 48.
Release count rose to 47.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/h2oai/h2o-llmstudio)Low breakout odds over the next 14 days, led by push recency (74th 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.
~13 forks/day, 11.1× the trailing baseline.