OPST Core Ablation Sample selection - MMLU: 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 Training topics and supervision preserved; no unpublished checkpoint URL or decoding settings inferred. MMLU nonthinking; experimental variants are source-local, not additional tasks. MMLU. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 4 models tracked.

Top models

#ModelScoreOverall rank
1OPST Gemma 4 E2B Core Ablation Sample selection=+ Consensus gate47.7
2OPST Gemma 4 E2B Core Ablation Sample selection=+ Verification45.4
3OPST Gemma 4 E2B Core Ablation Sample selection=+ OPST w/o verification42.7
4OPST Gemma 4 E2B Core Ablation Sample selection=Base37.5

Interactive version: theaggregate.ai/benchmark?slug=opst-core-ablation-sample-selection-mmlu · How It Works · Data refreshed daily, snapshot 2026-10-27.