INTELLECT-MATH: Advanced Mathematical Reasoning

INTELLECT-MATH is a 7.6 billion parameter language model developed by PrimeIntellect, engineered for frontier mathematical reasoning. It leverages a unique two-stage training approach to achieve its specialized capabilities.

Key Capabilities & Training:

• Optimized for Math: Specifically designed and trained to excel in complex mathematical problem-solving.
• Two-Stage Training: Utilizes an initial Supervised Fine-Tuning (SFT) stage on high-quality, verified QwQ outputs, followed by a Reinforcement Learning (RL) stage using the PRIME-RL recipe.
• Efficient RL: Achieves performance comparable to previous state-of-the-art models like Eurus-2-PRIME with 10x faster RL training, attributed to its superior synthetic SFT dataset.

Performance Highlights:

INTELLECT-MATH demonstrates strong performance across various mathematical benchmarks, often surpassing other models in its class:

• MATH-500: Achieves 82.0% accuracy.
• OLYMPIADBENCH: Scores 49.5%.
• AIME 2024: Reaches 26.7%.
• AMC: Attains 60.2%.
• MINERVA MATH: Scores 39.7%.

Use Cases:

This model is ideal for applications requiring robust mathematical reasoning, problem-solving, and complex calculation capabilities, particularly in competitive math or scientific domains.