A new learning-oriented framework streamlines how developers dissect open-weight model releases. The process prioritizes architectural analysis over surface-level benchmarks to uncover actual performance drivers. It helps practitioners separate marketing hype from technical reality. This systematic approach reduces the time spent auditing new LLM releases without sacrificing technical depth or accuracy.