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CASE-Lab-UMD/LLM-Drop avatar

CASE-Lab-UMD/LLM-Drop

GitHub

The official implementation of the paper "Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping (TMLR)".

Python192 stars23 forksApache-2.0
attention-mechanismdeep-learninglarge-language-modelsmachine-learningmodel-compressionnatural-language-processing

Momentum

CASE-Lab-UMD/LLM-Drop has 192 GitHub stars. It gained 0 stars over 3 recorded days in the last 7 days (snapshots through Oct 1, 2026).

It currently ranks #31528 daily, #31902 weekly, #33444 monthly by momentum on Trending Repos; its best-ever rank is #5039.

Trending Repos first recorded it on Sep 28, 2026.

Rankings

PeriodRankScore
Daily
#315280.0
Weekly
#319020.0
Monthly
#334440.0
How scoring works

Engagement

Total stars
Daily new stars
Recent daily star gains
DateStars gainedTotal starsForks gained
Oct 1, 202601920
Sep 30, 202601920
Sep 29, 202601920

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Embeds

Best rank #5039
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