base_model, license, license_link, pipeline_tag, tags
| base_model | license | license_link | pipeline_tag | tags | ||
|---|---|---|---|---|---|---|
| Qwen/Qwen2.5-14B-Instruct-AWQ | apache-2.0 | https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-AWQ/blob/main/LICENSE | text-generation |
|
IOL-AI 2026 Challenge submission
This repo is a redistribution of Qwen/Qwen2.5-14B-Instruct-AWQ
(Apache 2.0 license) plus a script.py for the
IOL-AI 2026 Challenge.
Approach
script.py prompts the model per-problem with a structured "rule table" method (enumerate every
example, derive a rule table, answer only from that table), followed by a self-review pass where the
model checks its own draft against the rule table and the original examples before finalizing. It
tracks a wall-clock budget against the competition's 30-minute limit and falls back to a single fast
greedy pass (or, if time is fully exhausted, a placeholder answer) rather than risk the process being
killed with no submission.csv written.
No training or fine-tuning is involved — this is inference-only, as required by the competition rules.