When a 7B Model Beats a 13B Model
The assumption that larger language models always perform better is deeply ingrained in the AI community. More parameters mean more knowledge, better reasoning, and superior outputs—or so the conventional wisdom goes. Yet in practical deployments, 7B parameter models frequently outperform their 13B counterparts on real-world tasks. This isn’t a statistical anomaly or measurement error; it … Read more