Mixture-of-Experts Training and Sparse Upcycling

A technical note on training sparse Mixture-of-Experts (MoE) models, covering expert routing strategies and the sparse upcycling approach for converting dense checkpoints into MoE architectures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-26
DOI
https://doi.org/10.5281/zenodo.21610062
Primary Topic
Machine Learning and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Mixture-of-Experts Training and Sparse Upcycling

Dheiver Francisco Santos
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning and Algorithms
article

Mixture-of-Experts Training and Sparse Upcycling

Dheiver Francisco Santos
article en

Abstract

A technical note on training sparse Mixture-of-Experts (MoE) models, covering expert routing strategies and the sparse upcycling approach for converting dense checkpoints into MoE architectures.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Openalex Percentile: Top 7%
Machine Learning and Algorithms
DOIOpen Access PDFOpenAlex
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