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Parcae: A Stable Looped Language Model Architecture with Predictable Scaling Laws
Traditional fixed-depth architectures scale quality by increasing training FLOPs, typically through increased parameterization, at the expense of a higher memory footprint, or data. A potential alternative is looped architectures, which instead increase F
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