31 lines
1.1 KiB
Markdown
31 lines
1.1 KiB
Markdown
---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- iol-ai-2026
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---
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# IOL-AI 2026 submission (v3)
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Submission for the [IOL-AI 2026 challenge](https://iolai.org/):
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Qwen2.5-7B-Instruct quantized to 4-bit (bitsandbytes NF4) at load time,
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greedy decoding, with per-item prompting.
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v3: 7B in 4-bit instead of 1.5B (fp16 fallback if bitsandbytes is missing).
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v2 changes over the plain baseline:
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- one generation per numbered item instead of one per problem
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- brief step-by-step reasoning, answer extracted from a `FINAL:` line
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- task-type-specific answer-format instructions
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- a one-shot worked example in the prompt
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- a global time budget that shrinks reasoning space near the 30-min limit
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- `script.py` reads `/tmp/data/test.csv` and writes `submission.csv`
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(columns `id`, `pred`, where `pred` is a JSON list of per-item answers).
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- Model weights are shipped in this repo and loaded from `"."` because the
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eval sandbox has no internet.
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Base model: [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
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(Apache 2.0).
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