OPST Mixed Curriculum - ARC-Challenge: 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 Training topics and supervision preserved; no unpublished checkpoint URL or decoding settings inferred. GSM8K/MATH-500 use thinking, other tasks do not. Single-domain row combines different specialist checkpoints across columns and is already Table1, so not treated as one model. ARC-Challenge. Metric: Accuracy (%).
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | OPST study Gemma 4 E2B All three (mixed curriculum) | 45.3 | |
| 2 | OPST study Gemma 4 E2B MMLU HellaSwag (mixed curriculum) | 44.9 | |
| 3 | OPST study Gemma 4 E2B MMLU GSM8K (mixed curriculum) | 44.5 | |
| 4 | OPST study Gemma 4 E2B HellaSwag GSM8K (mixed curriculum) | 43 | |
| 5 | OPST study Gemma 4 E2B Base (mixed curriculum) | 39.1 |
Interactive version: theaggregate.ai/benchmark?slug=opst-mixed-curriculum-arc-challenge · How It Works · Data refreshed daily, snapshot 2026-10-27.