So, Hugging Face just dropped SmolLM3. And no, the name isn’t ironic. It’s a 3-billion parameter model, but it behaves like it’s twice that beating models with 7B params as well. This matters because…

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Medium

SmolLM3 is a 3-billion parameter language model from Hugging Face that outperforms larger models through extensive training on 11.2 trillion tokens. Key features include extended thinking mode for step-by-step reasoning, native 64k token context length (extendable to 128k), multilingual support for six languages, and built-in tool calling capabilities. The model excels in benchmarks for math, reasoning, and programming tasks while being deployable on edge devices and single-GPU setups through various frameworks like transformers, vLLM, and llama.cpp.

SmolLM3 : The best small LLM for everything

<p>I am gonna try it out. Is it available in ollama??</p>
