by Hugging Face · Website

Hugging Face's SmolLM family of compact language models designed for on-device and edge deployment. Available in sizes from 135M to 1.7B parameters, SmolLM2 models are trained on trillions of tokens and deliver strong performance on reasoning, knowledge, and instruction-following tasks despite their small footprint.