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 (7 months ago)

Commits 49 (last one 19 days ago)

Stargazers 152 (0 this week)

Watchers 4 (0 this week)

Forks 17

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these CASE-Lab-UMD/LLM-Drop is ranked #220,247 (63rd percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #40,016/119,431.

CASE-Lab-UMD/LLM-Drop is also tagged with popular topics, for these it's ranked: deep-learning (#4,137/8512), machine-learning (#3,862/8063), natural-language-processing (#693/1429), large-language-models (#533/1090), model-compression (#57/108)

All Topics

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

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

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updated: 2024-12-16 @ 01:21pm, id: 798128448 / R_kgDOL5J5QA