Compact models·EASYHUB JOURNAL
SmolLM3 opens a 3B model with selectable reasoning modes
What changed
SmolLM3 releases 3B base and instruction checkpoints with thinking and non-thinking modes, six-language support and an openly described training recipe. Context training reaches 64K, with YaRN extending inference to 128K. Developers can choose a reasoning mode according to task complexity and latency needs.
- Original title
- SmolLM3: smol, multilingual, long-context reasoner
- Source
- Hugging Face · huggingface.co
- Topic
- Compact models
- Source month
- 2025-07
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Summary page published · Editorial information