Hugging Face Smol Models Research

This is the home for smol models (SmolLM & SmolVLM) and high quality pre-training datasets. We released:

News 🗞️

• The Smol Training Playbook: a comprehensive guide to training world-class LLMs HuggingFaceTB/smol-training-playbook

Past releases

• FineWeb-Edu: a filtered version of FineWeb dataset for educational content, paper available here.
• Cosmopedia: the largest open synthetic dataset, with 25B tokens and 30M samples. It contains synthetic textbooks, blog posts, and stories, posts generated by Mixtral. Blog post available here.
• Smollm-Corpus: the pre-training corpus of SmolLM: Cosmopedia v0.2, FineWeb-Edu dedup and Python-Edu. Blog post available here.
• FineMath: the best public math pretraining dataset with 50B tokens of mathematical and problem solving data.
• Stack-Edu: the best open code pretraining dataset with educational code in 15 programming languages.
• SmolLM2 models: a series of strong small models in three sizes: 135M, 360M and 1.7B
• SmolVLM2: a family of small Video and Vision models in three sizes: 2.2B, 500M and 256M. Blog post available here.
• SmolLM3: SOTA 3B model with dual reasoning, supports 6 languages and long context with strong function calling. SmolLM3 Engineering Blueprint available here