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Acemath 72B Instruct

Developed by nvidia
AceMath is a series of cutting-edge models designed specifically for mathematical reasoning. It is improved based on Qwen and is good at using chain-of-thought (CoT) reasoning to solve English mathematical problems.
Downloads 3,141
Release Time : 1/14/2025

Model Overview

The AceMath series of models focuses on mathematical reasoning tasks, including instruction models and reward models, and is suitable for solving complex mathematical problems and evaluating mathematical solutions.

Model Features

Powerful mathematical reasoning ability
The AceMath model performs excellently in various mathematical reasoning benchmark tests, significantly outperforming the best models in the same category.
Professional reward model
The AceMath - RM model is specifically used to evaluate and score mathematical solutions, setting a new record in the reasoning benchmark test.
Multi-stage supervised fine-tuning
Adopt a multi-stage supervised fine-tuning (SFT) process, first using general SFT data and then using specific mathematical SFT data.

Model Capabilities

Mathematical problem solving
Mathematical reasoning
Mathematical solution evaluation
Chain-of-thought (CoT) reasoning

Use Cases

Education
Mathematical competition problem solving
Solve complex mathematical competition problems, such as probability calculations, combinatorial mathematics, etc.
Performs excellently in mathematical reasoning benchmark tests, surpassing GPT-4o and Claude 3.5 Sonnet.
Research
Mathematical solution evaluation
Use the reward model to evaluate and score mathematical solutions.
Sets a new record for rm@8 accuracy (best of 8) in the reasoning benchmark test.
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