OPST Supervision Nonthinking - Average: leaderboard
OPST v1: Gemma 4 E2B/E4B Base means instruction-tuned; all training methods are separate checkpoints. OPST evaluates EMA teacher, not student. Nonthinking multiple-choice uses answer-option log-likelihood (MMLU 5-shot, other MC zero-shot, length normalization per lm-eval default); thinking parses final Answer: X. GSM8K 8-shot CoT exact numerical match; MATH-500 symbolic equivalence. Training topics and supervision preserved; no unpublished checkpoint URL or decoding settings inferred. Average. Metric: Accuracy (%).
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | OPST study Gemma 4 E4B Supervised OPSD (nonthinking) | 54.3 | |
| 2 | OPST study Gemma 4 E4B Supervised SFT (nonthinking) | 52.3 | |
| 3 | OPST study Gemma 4 E4B u-OPSD (nonthinking) | 49.8 | |
| 4 | OPST study Gemma 4 E4B R-Zero (nonthinking) | 47 | |
| 5 | OPST study Gemma 4 E2B Supervised OPSD (nonthinking) | 46.6 | |
| 6 | OPST study Gemma 4 E2B u-OPSD (nonthinking) | 44.6 | |
| 7 | OPST study Gemma 4 E2B Supervised SFT (nonthinking) | 43.8 | |
| 8 | OPST study Gemma 4 E2B R-Zero (nonthinking) | 41.8 |
Interactive version: theaggregate.ai/benchmark?slug=opst-supervision-nonthinking-average · How It Works · Data refreshed daily, snapshot 2026-10-27.