Math Environments
Math RL environments graded exactly, by Lean, or by a rubric judge; and Qwen3.5-2B trained on olympiad proofs.
Text Generation • 2B • Updated • 3Note Qwen3.5-2B after 500 RL updates on FineProofEnvs: held-out proofs 0.217 → 0.407 (gpt-oss-120b regrade 0.259 → 0.464).
FineEnvs/fineproof-envs-train
RL Environment • Updated • 122Note FineProofEnvs train: 5,099 olympiad proof tasks (2,899 validated) from QED-Nano's release, as Harbor tasks with a rubric judge.
FineEnvs/fineproof-envs-test
RL Environment • Updated • 76Note FineProofEnvs test: 128 olympiad proof tasks (64 validated) as Harbor tasks, graded 0–7 against each rubric.
FineProof RL training logs
📐GRPO for olympiad proofs with Qwen3.5-2B
Note Trackio dashboard: the 500-update run, 14 held-out evals with gpt-oss-120b regrades, and every eval attempt as a trace.
FineEnvs/fineproof-rl-runs
Viewer • Updated • 70.7k • 27Note Every held-out eval attempt (proof, gpt-oss-20b grades, 120b regrade), every training update and rollout of the run, as tables.
FineEnvs/openai-math
RL Environment • Updated • 369 • 20.3k • 135Note openai/math: research-level Lean 4 proofs, checked by Comparator in a separate sandbox.
Scott Wu Math
🃏1Scott Wu's card game as an OpenEnv RL environment
Note Scott Wu Math: make the target from every card once with + − × ÷. Play it, or point an agent at it.