Qwen3-30B-A3B Agentic-ESOpt Math (theta20)
This is the full-parameter BF16 checkpoint obtained by deterministically replaying the first 20 Agentic-ESOpt updates (generations 0–19) on Qwen3-30B-A3B.
Reported result
| Benchmark | Mean4 | Pass4 |
|---|---|---|
| DAPO | 50.0 | 74.0 |
| AIME2026 | 28.3 | 46.7 |
The source evaluation generated 16 samples per problem. The reported Mean4/Pass4 row is the group with sample_index 12–15. Mean4 is the mean score over those four samples; Pass4 is the mean per-problem maximum over those four samples. Exact unrounded values and the source evaluation records are included under repro/.
Replay configuration
- Base model:
Qwen/Qwen3-30B-A3B - Parameter scope: full (30,532,122,624 floating-point parameters)
- Replayed updates: 20 (generations 0–19)
- Population: 16
- Alpha: 0.0005
- Reward normalization: z-score (
ddof=0,eps=1e-8) - Training sigma schedule: cosine, 0.001 to 0.0005
- Export dtype: BF16
es_replay_export_manifest.json records every replayed generation and verifies that the recomputed normalization weights exactly equal the weights stored in the history. repro/es_history_theta20.json is the exact history prefix used to construct this checkpoint.
Reproduction files
repro/es_history_theta20.json: configuration plus the 20 replayed updatesrepro/metrics.json: exact metric values and aggregation detailsrepro/dapo_eval16.json: DAPO 16-sample evaluation recordsrepro/aime2026_eval16.json: AIME2026 16-sample evaluation records