Harness design causes 60-82% accuracy swing in 4B model classification

A 4B parameter model showed a 22% performance variance on a Kubernetes issue classification task when only prompt harness variables were altered. The test used identical frozen weights and a 250-issue gold corpus on a 6GB laptop GPU.