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Small models, big gains. Distilled “t0” models from 1.5B–32B retain strong condition accuracy with k=5 (e.g., 1.5B at 0.53; 32B at 0.56), narrowing the gap to frontier models while fitting in 3–64 GB GPU memory. The study highlights that reasoning distillation especially lifts the smallest models.
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