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vukien2301/qwen2.5-1.5b-sft-gpt54mini-math_cot
qwen2.5-1.5b-sft-gpt54mini-math_cot is a machine learning model from vukien2301. 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.
SFT fine-tune of Qwen/Qwen2.5-1.5B-Instruct on vukien2301/ultrainteractmathcotgpt54mini (78,349 GPT-5.4-mini regenerated math CoT problems from UltraInteract).
Downloads · 30 days
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From the Hugging Face model README
SFT fine-tune of Qwen/Qwen2.5-1.5B-Instruct on
vukien2301/ultrainteract_math_cot_gpt54mini
(78,349 GPT-5.4-mini regenerated math CoT problems from UltraInteract).
"{question}\n{model_prediction}" + EOSpeft.merge_and_unload()| Task | Shots | Base Qwen2.5-1.5B-Instruct | This model |
|---|---|---|---|
| GSM8K (flex) | 5 | 59.89 | 65.13 |
| GSM8K (strict) | 5 | 54.74 | 38.74 |
| GSM-Plus (flex) | 5 | 39.56 | 45.61 |
| GSM-Plus (str) | 5 | 32.45 | 24.18 |
| MATH500 | 4 | 12.20 | 10.40 |
Strict-match drop is format drift (\boxed{} vs #### N), not capability loss — flex confirms.
Built for EMNLP H2H-SD compound-pipeline experiments. See [github / paper link TBD].