🧠 SmolLM3
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Smol, multilingual, long-context reasoner
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Zuppichini
Francesco
AI & ML interests
Computer Vision
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🧠 SmolLM3
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VLM
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HuggingFaceTB/SmolLM3-3B
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Test SmolLM3, the newest fully open model released by
@HuggingFaceTB
!
It's smol (3B), multilingual (6 languages), comes with dual mode reasoning (think/no_think modes) and supports long-context (128k).
Try it now in the notebook below!! ⬇️
Colab notebook: https://colab.research.google.com/github/sergiopaniego/samples/blob/main/smollm3_3b_inference.ipynb
notebook: https://github.com/sergiopaniego/samples/blob/main/smollm3_3b_inference.ipynb
blog: https://huggingface.co/blog/smollm3
It's smol (3B), multilingual (6 languages), comes with dual mode reasoning (think/no_think modes) and supports long-context (128k).
Try it now in the notebook below!! ⬇️
Colab notebook: https://colab.research.google.com/github/sergiopaniego/samples/blob/main/smollm3_3b_inference.ipynb
notebook: https://github.com/sergiopaniego/samples/blob/main/smollm3_3b_inference.ipynb
blog: https://huggingface.co/blog/smollm3
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🐺🐦⬛ LLM Comparison/Test: 25 SOTA LLMs (including QwQ) through 59 MMLU-Pro CS benchmark runs
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