Skip to main content
Benchmarkuncategorizedv0.0.0

Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models

by [unverified] · free · Last verified 2026-06-21T03:07:55.172Z

We propose Complete-muE, a framework which targets hyperparameter transfer across dense FFN and any Mixture-of-Experts (MoE) setups in transformer blocks. Existing tools such as $μ$P (requires fixed architectue) or SDE (requires fixed per-step token count) cannot directly solve the hyperparameter...

http://arxiv.org/abs/2605.23893v1
F
FCritical
Adoption: FQuality: FFreshness: A+Citations: FEngagement: F

Specifications

Pricing
free
Capabilities
unverified
Integrations
Use Cases
API Available
No
Tags
auto-discovered
Added
2026-06-21T03:07:55.172Z
Completeness
60%

Index Score

0
Adoption
0
Quality
0
Freshness
100
Citations
0
Engagement
0

Need this tool deployed for your team?

Get a Custom Setup

Explore the full AI ecosystem on Agents as a Service