AceMath-72B-Instruct

Maintained By
nvidia

AceMath-72B-Instruct

PropertyValue
DeveloperNVIDIA
Model Size72B parameters
LicenseCreative Commons Attribution: Non-Commercial 4.0 International
Use CaseMathematical Reasoning
Base ModelQwen2.5-Math-72B-Base

What is AceMath-72B-Instruct?

AceMath-72B-Instruct is a powerful mathematical reasoning model developed by NVIDIA, built upon the Qwen architecture. It represents the largest variant in the AceMath family, specifically designed to excel at solving complex mathematical problems through Chain-of-Thought (CoT) reasoning. The model significantly outperforms other leading models including GPT-4 and Claude 3.5 Sonnet, achieving an impressive average pass@1 rate of 71.8% on various mathematical reasoning benchmarks.

Implementation Details

The model is implemented using a multi-stage supervised fine-tuning (SFT) process, beginning with general-purpose training data before specializing with mathematics-specific content. It's built on the Qwen2.5-Math-72B-Base architecture and has been optimized specifically for mathematical problem-solving tasks.

  • Developed through multi-stage supervised fine-tuning
  • Implements Chain-of-Thought reasoning methodology
  • Optimized for mathematical problem-solving
  • Built on Qwen2.5-Math-72B-Base architecture

Core Capabilities

  • Advanced mathematical reasoning and problem-solving
  • Step-by-step solution generation using Chain-of-Thought
  • Superior performance compared to leading proprietary models
  • Specialized focus on mathematical tasks
  • Supports complex mathematical notation and expressions

Frequently Asked Questions

Q: What makes this model unique?

AceMath-72B-Instruct stands out for its exceptional performance in mathematical reasoning, surpassing both open-source and proprietary models. It achieves a 71.8% pass rate on mathematical benchmarks, exceeding GPT-4 (67.4%) and Claude 3.5 Sonnet (65.6%).

Q: What are the recommended use cases?

The model is specifically designed and recommended for solving mathematical problems. While it's part of a larger family that includes general-purpose models (AceInstruct series), AceMath-72B-Instruct should be primarily used for mathematical reasoning tasks and problem-solving.

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