LINs-lab / DynMoE

[ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models

Date Created 2024-05-17 (8 months ago)

Commits 17 (last one 6 days ago)

Stargazers 63 (3 this week)

Watchers 12 (0 this week)

Forks 9

License apache-2.0

Ranking

RepositoryStats indexes 609,066 repositories, of these LINs-lab/DynMoE is ranked #408,823 (33rd percentile) for total stargazers, and #179,801 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #78,289/122,846.

LINs-lab/DynMoE is also tagged with popular topics, for these it's ranked: language-model (#390/523)

Other Information

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

All Topics

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

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

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updated: 2025-01-26 @ 09:27pm, id: 801951107 / R_kgDOL8zNgw