verdict-typed-base

intfloat/multilingual-e5-base (278M) fine-tuned for 3 epochs on the train split of LocalLLaMA/typed-decisions with the teacher's soft probabilities as targets, the same protocol Laya used for its 0.766. Scores 0.7055 on the 2,000 test decisions (Jev 0.727 zero-shot, Laya typed-decisions 0.766). Published as a reproducible comparison point, not as the default model.

from verdict import Verdict
v = Verdict(model="Manav2op/verdict-typed-base")

Part of Verdict. Training script: train/finetune_typed.py. Full benchmark table: docs/BENCHMARKS.md.