CASE-Lab-UMD / LLM-Drop

The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".

Date Created 2024-05-09 (6 months ago)

Commits 46 (last one 4 days ago)

Stargazers 143 (11 this week)

Watchers 4 (0 this week)

Forks 15

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these CASE-Lab-UMD/LLM-Drop is ranked #226,851 (61st percentile) for total stargazers, and #373,290 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #41,104/116,326.

CASE-Lab-UMD/LLM-Drop is also tagged with popular topics, for these it's ranked: deep-learning (#4,225/8389), machine-learning (#3,934/7926), natural-language-processing (#701/1411), large-language-models (#523/1045), model-compression (#58/106)

All Topics

deep-learning machine-learning model-compression attention-mechanism large-language-models natural-language-processing

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46 commits on the default branch (main) since jan '22

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updated: 2024-11-21 @ 07:23am, id: 798128448 / R_kgDOL5J5QA