SmallThinker-3B is a lightweight yet powerful model fine-tuned from Qwen2.5-3B-Instruct, specifically designed for resource-constrained environments and fast, efficient reasoning. Built on the QWQ-LONGCOT-500K dataset, it excels in generating structured reasoning chains, with over 75% of its training samples exceeding 8K tokens.

🔹70% Faster Token Generation
🔹Compact Yet Powerful
🔹Ideal for Edge & Draft Applications
🔹 Open-Source & Transparent

We just released a step-by-step guide on how to install and run SmallThinker-3B on NodeShift Cloud or any other GPU setup! Whether you're using Ollama, Open WebUI, or Jupyter Notebook, we've covered everything you need to get started in minutes.

Read the full blog here: https://t.co/sFEbSvf6QE

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