Parcae: Doing more with fewer parameters using stable looped models
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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
overfeed.news indexes and links. We publish a short excerpt — the full article stays at Together AI Blog.
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