How I Fine-Tuned Granite-Vision 2B to Beat a 90B Model Insights and Lessons Learned

The article details a practical approach to fine-tuning the Granite-Vision 2B model, demonstrating how targeted optimization can enable a smaller, 2-billion-parameter vision model to outperform significantly larger models, including a 90-billion-parameter counterpart. This development highlights the potential of advanced fine-tuning techniques, such as parameter-efficient methods and tailored training strategies, to maximize the performance of compact models, making them more competitive in high-stakes vision tasks.