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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
What RADAR observed and classified to build this opportunity. It is what the source published, not a verification that the offer is still active.
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
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