In a groundbreaking development, the Generative Artificial Intelligence Research Lab (GAIR) has unveiled LIMO (Less Is More for Reasoning), a model that challenges traditional approaches to mathematical reasoning. Remarkably, LIMO achieves state-of-the-art performance using only 817 carefully curated training samples, a stark contrast to other models that rely on datasets exceeding 800,000 samples. This efficiency not only underscores the importance of data quality over quantity but also highlights LIMO’s robust generalization across diverse problem types. Recent evaluations, including the AIME 2025 Part 1, showcased LIMO’s competitive edge, scoring 44.5 and demonstrating its potential to reshape the future of AI-driven reasoning. For those eager to explore this innovation, GAIR has made LIMO’s model and datasets accessible on Hugging Face, accompanied by comprehensive evaluation tools. Dive into the details and witness how LIMO is setting new benchmarks in the AI community.