janPaje/iolai-gemma4-hybrid

IOL-AI 2026 — gemma4:12b hybrid (symbolic numeral solver + budget-managed LLM)

Three-pass pipeline:

1. 1.Symbolic pass — numeral_solver.py brute-forces numeral systems (base, word values, word-order convention) from the problem's own examples and answers text_to_num / num_to_text exactly when a consistent system exists; otherwise falls through to the LLM.
2. 2.Baseline pass — a fast low-token answer for every remaining problem, with submission.csv atomically checkpointed after every row.
3. 3.Upgrade pass — per-row time-sliced reasoning with per-task-type method prompts; a baseline answer is replaced only when the upgrade parses to the correct number of answers. Translation reasoning is deliberately capped low: on gemma4-12B, truncated reasoning plus a forced short answer scored measurably higher than completed reasoning.

Model: gemma4-12B (Apache 2.0), weights shipped in this repo, loaded 4-bit via bitsandbytes at startup (fp16 12B does not fit the 16 GB T4).

Upload checklist (before submitting)

1. 1.Put the gemma4-12B weight files (safetensors + config + tokenizer) in the repo root so script.py loads them from ".".
2. 2.Repo must be public at submission time.
3. 3.Submit via the competition Space; the platform mounts the hidden test set at /tmp/data/test.csv and runs script.py.