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| title: README | |
| emoji: 👁 | |
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| # HuggingFaceTB | |
| This is the home for smol models (SmolLM) 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). | |
| - [SmolLM models](https://huggingface.co/collections/HuggingFaceTB/smollm-6695016cad7167254ce15966) and [SmolLM2 models](https://huggingface.co/collections/HuggingFaceTB/smollm2-checkpoints-6723884218bcda64b34d7db9): a series of strong small models in three sizes: 135M, 360M and 1.7B | |
| - [SmolVLM](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct): a 2 billion Vision Lnaguage Model (VLM) built for on-device inference. It uses SmolLM2-1.7B as a language backbone. Blog post available [here](https://huggingface.co/blog/smolvlm). | |
| **News 🗞️** | |
| - SmolLM2: you can find our most capable model SmolLM2-1.7B here: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct and our training and evaluation toolkit at: https://github.com/huggingface/smollm | |
| - We released our SFT mix SmolTalk, a 1M samples synthetic dataset to improve instruction following, chat and reasoning: https://hf.co/datasets/HuggingFaceTB/smoltalk | |
| - SmolVLM: a lightweight 2B Vision Language Model available here https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct | |
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| <img src="https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/RvHjdlRT5gGQt5mJuhXH9.png" width="900"/> | |
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