Ternary variant. Knowledge recall weakens first under extreme compression, per PrismML CEO — consistent with MMLU-Redux dropping from 93.42 (FP16).

Base model score.

1-bit variant. Factual recall is where the 1-bit variant loses most ground — consistent with PrismML's stated trade-off profile.