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Thirteen parameters reach 91% on a reasoning benchmark

development2026-04-01

Claim

Meta researchers pushed compression further with TinyLoRA, training a model to 91% accuracy on GSM8K with just thirteen parameters in bf16, twenty-six bytes in total, while Google introduced a video model at less than half the cost of its previous cheapest.

Reported metric: 13 parameters / 26 bytes

Reporting date: (not necessarily the event date)

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