Training Qwen 4B to Beat Large Models on Work Tasks
robmay Thursday, February 12, 2026
Summary
The article discusses the process of training a small language model on a limited dataset, focusing on the challenges and techniques involved. It highlights the importance of careful data curation, model architecture selection, and hyperparameter tuning to achieve optimal performance with limited resources.
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neurometric.substack.com