MoE Scaling Laws Experiment: Limited Gains on BEIR
antoine_chaffin · x · 2026-08-26
A user shared experimental data on scaling laws for Mixture-of-Experts (MoE) models. While gains were observed on the BEIR benchmark and embedding dimension was found not strictly necessary to scale, the improvements were limited compared to dense scaling, with diminishing returns noted. The experiment was limited to 1B parameter models.
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