SmolLM is a series of the latest small language models, including versions with 135M, 360M, and 1.7B parameters. These models are trained on a carefully curated high-quality training corpus and can run on local devices, significantly reducing inference costs and improving user privacy. SmolLM models have performed well in various benchmark tests, including tests of common sense reasoning and world knowledge.