During February 2026, Metang developed CPU Optimization Recipes for the Qwen-Qwen3-4B model in the microsoft/olive-recipes repository, enabling efficient CPU-only inference and reducing reliance on GPUs. The work involved creating new recipe and configuration files, specifying dependencies, and providing detailed usage instructions to support model deployment on CPU platforms. Leveraging Python, machine learning, and model optimization techniques, Metang ensured the model could be executed effectively without specialized hardware. The contribution included comprehensive documentation updates, facilitating adoption by other developers. This focused feature demonstrated depth in CPU execution and model optimization, addressing practical deployment challenges for machine learning workloads in production environments.