OPST Synthetic Thinking - HellaSwag: 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 Training topics and supervision preserved; no unpublished checkpoint URL or decoding settings inferred. HellaSwag. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 8 models tracked.

Top models

#ModelScoreOverall rank
1OPST study Gemma 4 E4B OPST (thinking)83
2OPST study Gemma 4 E4B GRPO (thinking)81.5
3OPST study Gemma 4 E4B SFT (thinking)81.1
4OPST study Gemma 4 E4B Base (thinking)80.9
5OPST study Gemma 4 E2B OPST (thinking)65.6
6OPST study Gemma 4 E2B SFT (thinking)64.5
7OPST study Gemma 4 E2B Base (thinking)63.1
8OPST study Gemma 4 E2B GRPO (thinking)62.5

Interactive version: theaggregate.ai/benchmark?slug=opst-synthetic-thinking-hellaswag · How It Works · Data refreshed daily, snapshot 2026-10-27.