During November 2025, Ruibiao contributed to the PaddlePaddle/PaddleFormers repository by developing an example configuration and provider for the GLM-4.5 model within PaddleFleet. This work focused on expanding the framework’s support for large language model workflows, enabling scalable training and evaluation scenarios. Using Python and leveraging deep learning and model training expertise, Ruibiao created a reusable configuration template that streamlines GLM-4.5 deployment. The integration aligned with project roadmap requirements and demonstrated careful version-control practices. While the contribution was limited to a single feature, it addressed a core need for LLM readiness and improved the maintainability of PaddleFormers’ configuration management.