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iol-ai-2026-baseline
srikarkashyap/iol-ai-2026-baseline
iol-ai-2026-baseline is a machine learning model from srikarkashyap. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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.
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At a glance
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026
- SHA
- 4f91d5a3
Base models
Model card
From the Hugging Face model README
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.pyreads/tmp/data/test.csvand writessubmission.csv(columnsid,pred, wherepredis 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).
- Type
- qwen2
- License
- apache-2.0
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026