During June 2025, Wenbin Chang focused on improving the accuracy of deployment documentation for the PaddlePaddle/FastDeploy repository. He identified and corrected a critical error in the WINT2 quantization resource requirements, updating the minimum GPU VRAM needed for baidu/ERNIE-4.5-VL-424B-Paddle from 96G to 141G. This work involved careful revision of supported_models.md and its Chinese translation, ensuring that users receive precise guidance for resource planning. Wenbin utilized his skills in documentation and Markdown to implement these changes. While the scope was limited to a single bug fix, the update addressed a key technical detail for the developer community.