Dense vs Sparse Pretraining at Tiny Scale: Active-Parameter vs Total-Parameter Matching
arXiv:2605.13769v1 Announce Type: cross
Abstract: We study dense and mixture-of-experts (MoE) transformers in a tiny-scale pretraining regime under a shared LLaMA-style decoder training recipe. The sparse model replaces dense feed-forward blocks with …