Developed and delivered support for the Qwen2.5-Math-RM-72B reward model on the vllm-project/vllm-ascend repository, focusing on enhancing mathematical reasoning capabilities for platform users. The work involved integrating new API endpoints, optimizing deployment pathways, and providing comprehensive documentation in Markdown to streamline customer onboarding and validation. Test configurations were added to ensure robust implementation and facilitate future iterations. Using JSON and Shell scripting, the developer improved deployment readiness and reduced time-to-value for customers adopting the new model. The contribution addressed platform extensibility and operational efficiency, reflecting a methodical approach to model optimization and technical documentation within a production environment.