AIMO Progress Prize
Collection
Models and datasets used in the winning solution to the AIMO 1st Progress Prize
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7 items
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Updated
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Model Card for NuminaMath 7B TIR GPTQ
NuminaMath is a series of language models that are trained to solve math problems using tool-integrated reasoning (TIR). NuminaMath 7B TIR won the first progress prize of the AI Math Olympiad (AIMO), with a score of 29/50 on the public and private tests sets.
This model is an 8-bit version of AI-MO/NuminaMath-7B-TIR, which we quantized with AutoGPTQ to run fast inference in the Kaggle submissions. Please consult the original model card for more details.
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Model tree for AI-MO/NuminaMath-7B-TIR-GPTQ
Base model
deepseek-ai/deepseek-math-7b-base
Quantized
this model