IBM's Granite 4.1 models utilize a mixture-of-experts architecture to optimize inference efficiency. The team curated high-quality synthetic data and rigorous filtering to refine model reasoning. This approach reduces compute overhead while maintaining performance on coding tasks. Developers can now deploy these weights via Hugging Face for enterprise-grade local execution.