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  **News πŸ—žοΈ**
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  - SmolLM2: you can find our most capable model SmolLM2-1.7B here: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/kIUMhq5p_7Vl74lihlS8y.png" width="600"/>
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- <p><em>Evaluation of SmolLM2 and other models on common benchmarks. For more details, refer to the <a href="https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct/" target="_blank">model card</a>.</em></p>
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  - We released our SFT mix SmolTalk, a diverse dataset of 1M synthetic instruction and answer pairs to improve instruction following and reasoning: https://huggingface.co/datasets/HuggingFaceTB/smoltalk
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  <div align="center">
 
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  **News πŸ—žοΈ**
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  - SmolLM2: you can find our most capable model SmolLM2-1.7B here: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct
 
 
 
 
 
 
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  - We released our SFT mix SmolTalk, a diverse dataset of 1M synthetic instruction and answer pairs to improve instruction following and reasoning: https://huggingface.co/datasets/HuggingFaceTB/smoltalk
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  <div align="center">