Parcae: Doing more with fewer parameters using stable looped models

Parcae is a stable looped language model that matches the quality of a Transformer twice its size — a 770M model reaching 1.3B-level performance. We introduce the first scaling laws for looping and show that increasing recurrence, not just data, is a compute-efficient path to bet