GAIR-NLP/LIMO

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1083 stars · 54 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LIMO is a research project and training framework demonstrating that large language models can achieve strong mathematical reasoning with only a small set of high-quality training samples. It releases fine-tuned Qwen2.5-32B models, curated reasoning datasets, and training/evaluation code.

Use cases

• fine-tune an LLM for math reasoning with minimal data
• train a reasoning model on curated chain-of-thought samples
• evaluate LLMs on AIME and MATH benchmarks
• improve model generalization in mathematical problem solving
• reproduce the LIMO less-is-more reasoning results

When to choose

• you want SOTA math reasoning via small high-quality SFT datasets
• you need training and evaluation code for reasoning fine-tuning research
• you want ready-made reasoning models and datasets on Hugging Face

When to avoid

• you need a production inference server rather than training research code
• you lack GPU resources for 32B model fine-tuning
• you need a permissively licensed codebase - no license is specified

Facets

library · maturity active

llm-training machine-learning benchmarking large-language-models machine-learning mathematics artificial-intelligence python mathematical-reasoning fine-tuning sft research dataset chain-of-thought qwen gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="GAIR-NLP/LIMO")