SmolLM3: smol, multilingual, long-context reasoner

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SmolLM3 is a new multilingual long-context reasoner model developed by Hugging Face

advanced Published 8 Jul 2025

Action Steps

Explore the SmolLM3 model and its capabilities
Evaluate the performance of SmolLM3 on specific NLP tasks
Integrate SmolLM3 into existing NLP pipelines and applications
Fine-tune SmolLM3 for specific languages or domains

Who Needs to Know This

NLP engineers and researchers can utilize SmolLM3 for improving language understanding and generation tasks, while product managers can explore its applications in various products and services

Key Insight

💡 SmolLM3 offers improved performance on long-context reasoning tasks across multiple languages

Key Takeaways

SmolLM3 is a new multilingual long-context reasoner model developed by Hugging Face

Full Article

# SmolLM3: smol, multilingual, long-context reasoner

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# [](https://huggingface.co/blog/smollm3#smollm3-smol-multilingual-long-context-reasoner) SmolLM3: smol, multilingual, long-context reasoner

Published July 8, 2025

[Update on GitHub](https://github.com/huggingface/blog/blob/main/smollm3.md)

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SmolLM3: smol, multilingual, long-context reasoner

Key Takeaways

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