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Model: jithinjames/iol-ai-2026-solver
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen2.5-14B-Instruct-AWQ
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-AWQ/blob/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- competition
+- iol-ai-2026
+---
+
+# IOL-AI 2026 Challenge submission
+
+This repo is a redistribution of [Qwen/Qwen2.5-14B-Instruct-AWQ](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-AWQ)
+(Apache 2.0 license) plus a `script.py` for the
+[IOL-AI 2026 Challenge](https://huggingface.co/spaces/iol-ai-challenge/iol-ai-2026).
+
+## 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.