During June 2025, Chang Wenbin contributed to the PaddlePaddle/FastDeploy repository by addressing a critical documentation bug related to WINT2 quantization. He identified and corrected the minimum GPU VRAM requirement for deploying baidu/ERNIE-4.5-VL-424B-A47B-Paddle, updating the value from 96G to 141G to ensure users receive accurate resource guidance. This fix involved editing supported_models.md and its Chinese translation using Markdown, demonstrating attention to detail and a focus on clear technical communication. While the work was limited to documentation, it addressed a nuanced hardware compatibility issue, reflecting a careful and precise approach to maintaining project accuracy and usability.