Training
- Base:
Qwen/Qwen3.6-35B-A3B (Apache-2.0)
- Data: 535 eligible unique items, 534 train and one evaluation item
- Procedure: LoRA SFT followed by matched GRPO
- LoRA: rank 16, alpha 32
- Hardware: four NVIDIA H200 GPUs for the recorded SFT variant
- GRPO: 60 logged steps, 3,629.4258 seconds
Raw training questions are not redistributed by this repository.
Evaluation
Table with columns: Stage, Hard128, MMLU-Pro64, MuSR64, BBEH61| Stage | Hard128 | MMLU-Pro64 | MuSR64 | BBEH61 |
|---|
| Base | 99 | 60 | 39 | 33 |
| SFT | 103 | 59 | 44 | 36 |
| GRPO60 | 106 | 61 | 45 | 41 |
BBEH61 used a documented 64k-thinking policy and one seed. Base-to-GRPO
McNemar p=0.3018; this is not statistically conclusive evidence of broad
reasoning improvement.
Reproducibility and boundaries
- Evidence repository v1.1.0
- Git commit:
0937ef30ea1e3f4b85ec87d1696b22191b62ec14
- The
sft-high-v2 revision contains the precursor SFT adapter.
- The
grpo60-high-v2 tag identifies the audited final adapter.
Use is subject to the base model license. Results establish bounded task
specialization, not universal mathematical reasoning gains.