LINs-lab / DynMoE

[Preprint] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models

Date Created 2024-05-17 (about a month ago)

Commits 10 (last one 5 days ago)

Stargazers 27 (5 this week)

Watchers 8 (0 this week)

Forks 6

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these LINs-lab/DynMoE is ranked #524,774 (2nd percentile) for total stargazers, and #236,072 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #101,235/103,470.

LINs-lab/DynMoE is also tagged with popular topics, for these it's ranked: language-model (#448/458)

Other Information

Homepage URL: https://arxiv.org/abs/2405.14297

All Topics

moe language-model mixture-of-experts vision-transformer adaptive-computation multimodal-large-language-models

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

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updated: 2024-06-29 @ 07:19am, id: 801951107 / R_kgDOL8zNgw