README.md

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# Hugging Face Smol Models Research
This is the home for smol models (SmolLM & SmolVLM) and high quality pre-training datasets. We released:

- [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu): a filtered version of FineWeb dataset for educational content, paper available [here](https://huggingface.co/papers/2406.17557).
- [Cosmopedia](https://huggingface.co/datasets/HuggingFaceTB/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](https://huggingface.co/blog/cosmopedia).
- [Smollm-Corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus): the pre-training corpus of SmolLM: **Cosmopedia v0.2**, **FineWeb-Edu dedup** and **Python-Edu**. Blog post available [here](https://huggingface.co/blog/smollm).
- [FineMath](https://huggingface.co/datasets/HuggingFaceTB/finemath): the best public math pretraining dataset with 50B tokens of mathematical and problem solving data.
- [Stack-Edu](https://huggingface.co/datasets/HuggingFaceTB/stack-edu): the best open code pretraining dataset with educational code in 15 programming languages.
- [SmolLM2 models](https://huggingface.co/collections/HuggingFaceTB/smollm2-checkpoints-6723884218bcda64b34d7db9): a series of strong small models in three sizes: 135M, 360M and 1.7B
- [SmolVLM2](https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct): a family of small **Video and Vision** models in three sizes: 2.2B, 500M and 256M. Blog post available [here](https://huggingface.co/blog/smolvlm2).

**News 🗞️**
- **SmolLM3**: SOTA 3B model with dual reasoning, supports 6 languages and long context with strong function calling: [HuggingFaceTB/SmolLM3-3B](https://huggingface.co/HuggingFaceTB/SmolLM3-3B)
- SmolLM3 Engineering Blueprint available [here](https://huggingface.co/datasets/HuggingFaceTB/smollm3-blueprint/blob/main/smollm3-blueprint.pdf).
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