The OptiPFair Series #1: Forging the Future with Small Models — An Architectural Analysis with Pere Martra

An in-depth architectural analysis of OptiPFair, the open-source model optimization library by Pere Martra. This article explores structured pruning techniques (depth vs width), benchmarks from hands-on laboratory testing, bias visualization and mitigation strategies, and the philosophy behind building efficient Small Language Models (SLMs) for edge deployment. Includes practical guidance for ML engineers, safe pruning ranges by model family, and a roadmap for knowledge distillation. First episode of the OptiPFair Series from Principia Agentica. Keywords: OptiPFair, model pruning, Small Language Models, SLMs, depth pruning, width pruning, edge AI, model optimization, bias mitigation, Pere Martra, structured pruning, knowledge distillation.