Hugging Face has developed a revolutionary approach where small language models outperform larger ones using test-time compute scaling. By allocating computational resources dynamically during inference, smaller models achieve remarkable success in complex tasks. This strategy heralds a shift in AI developmentāa focus on efficient computations during inference rather than on extensive pretraining.