license, base_model, tags

license	base_model	tags
apache-2.0	Qwen/Qwen2.5-7B-Instruct	iol-ai-2026

IOL-AI 2026 submission (v3)

Submission for the IOL-AI 2026 challenge: Qwen2.5-7B-Instruct quantized to 4-bit (bitsandbytes NF4) at load time, greedy decoding, with per-item prompting.

v3: 7B in 4-bit instead of 1.5B (fp16 fallback if bitsandbytes is missing).

v2 changes over the plain baseline:

• one generation per numbered item instead of one per problem

• brief step-by-step reasoning, answer extracted from a FINAL: line

• task-type-specific answer-format instructions

• a one-shot worked example in the prompt

• a global time budget that shrinks reasoning space near the 30-min limit

• script.py reads /tmp/data/test.csv and writes submission.csv (columns id, pred, where pred is a JSON list of per-item answers).

• Model weights are shipped in this repo and loaded from "." because the eval sandbox has no internet.

Base model: Qwen/Qwen2.5-1.5B-Instruct (Apache 2.0).