Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments
The study tested how well different sized language models handle an 'Agent Skills' framework, which uses a static cheat-sheet for context management. Results show very small models fail to reliably select skills, while 30B to 80B models benefit significantly. This reveals a tradeoff: larger models offer better performance under industrial constraints but cost more GPU memory.