lyogavin

airllm

AirLLM 70B inference with single 4GB GPU

Trusted Project Jupyter Notebook Accelerating
30.8k stars via trending-weekly
View on GitHub

Growth we measured

16 daily star snapshots stored by whatstrending.ai, 2026-06-22 to 2026-08-12. GitHub shows today's number; this is the movement behind it.

30,76320,870
2026-06-22 — 20,870 stars2026-06-23 — 21,036 stars2026-07-18 — 23,136 stars2026-07-19 — 23,321 stars2026-07-20 — 23,616 stars2026-08-02 — 25,185 stars2026-08-03 — 25,627 stars2026-08-04 — 27,045 stars2026-08-05 — 28,354 stars2026-08-06 — 28,570 stars2026-08-07 — 29,623 stars2026-08-08 — 29,904 stars2026-08-09 — 30,150 stars2026-08-10 — 30,370 stars2026-08-11 — 30,569 stars2026-08-12 — 30,763 stars
2026-06-2216 stored snapshots2026-08-12
Stars30,763our snapshot on 2026-08-12
7-day pace+344/day+2,409 stars · 2026-08-05 → 2026-08-12 (7 days)
30-day paceno data yetno snapshot ~30 days back
TrajectoryAccelerating7-day pace vs full tracked span (51 days) (+194/day)
First recorded2026-06-2216 snapshots across 51 days

How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 16 snapshots for lyogavin/airllm between 2026-06-22 and 2026-08-12. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.

For the maintainer

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lyogavin/airllm is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.

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