CASE-Lab-UMD / Unified-MoE-Compression

The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".

Date Created 2024-02-24 (about a year ago)
Commits 30 (last one 19 days ago)
Stargazers 65 (0 this week)
Watchers 1 (0 this week)
Forks 5
License apache-2.0
Ranking

RepositoryStats indexes 636,050 repositories, of these CASE-Lab-UMD/Unified-MoE-Compression is ranked #413,266 (35th percentile) for total stargazers, and #559,936 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,240/130,195.

CASE-Lab-UMD/Unified-MoE-Compression is also tagged with popular topics, for these it's ranked: deep-learning (#6,448/8833),  machine-learning (#6,148/8443),  natural-language-processing (#1,113/1474),  large-language-models (#863/1239),  model-compression (#81/108)

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Watcher History

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Recent Commit History

30 commits on the default branch (master) since jan '22

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Issue History

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Languages

The primary language is Python but there's also others...

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updated: 2025-04-04 @ 07:18pm, id: 762783783 / R_kgDOLXcoJw