Paper Proposes Compute-Efficient Hyperparameter Transfer for MoE
kakaocorp · hf · 2026-08-24
This paper introduces a two-step hyperparameter transfer framework designed to predict optimal learning rates for large-scale Mixture-of-Experts models. By scaling across model widths and token budgets, it enables efficient pretraining without the need for costly sweeps.
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