JevalKit - TypedDecisions: leaderboard

JevalKit - TypedDecisions. Native {"schema_version": 1, "name": "TypedDecisions", "media_root": ".", "protocol": "test-400-shared-state-soft-gold-v1", "reference_normalization": "sum-normalized only within 0.001 of one; original sum retained", "tie_break": "first upstream candidate; explicit mapping retained per question", "records": 400, "questions": 2000, "sha256": "043b3089dac5ab2045e717d3899afe7bfc073e30e66da3cb47b8ebca17277cfe", "family": "TypedDecisions", "modality": "text", "module": "typed_decisions", "source_url": "https://huggingface.co/datasets/LocalLLaMA/typed-decisions"}. Complete, input-conformant, eligible primary runs with no runtime failures; text/vision Public Decision Index0-100, all other boards native accuracy fractions converted to percent. Calibration metrics retained separately; private composite components not represented as public. Metric: Accuracy (%). Higher is better.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Rough model projection: around 2026. 33 models tracked.

Top models

#ModelScoreOverall rank
1StartLux-v1.1-9B-Instant81.35
2StartLux-Decision-27B-Instant81.1
3Intern-Decision 4B80.5
4Valen-Decision-1.5-27B79.4
5Intern-Decision 2B79.35
6StartLux-v1.1-4B-Instant78.8
7RSI-Jev-v478.4
8StartLux-v1.1-2B-Instant78.05
9Valen-Decision-1.5-9B77.8
10Intern-Decision 0.8B77.7

Interactive version: theaggregate.ai/benchmark?slug=jevalkit-typeddecisions · How It Works · Data refreshed daily, snapshot 2026-11-13.