Zhou Xibin developed and integrated the Evolla protein-language generative model into the liguodongiot/transformers repository, focusing on decoding the molecular language of proteins to support advanced protein design workflows. Leveraging deep learning and natural language processing techniques with PyTorch and Python, Zhou enhanced the model’s architecture, configuration, and processing capabilities. The work included comprehensive testing to validate the model’s ability to interpret protein sequences and robust documentation updates to guide users through architecture, usage, and validation results. Over the month, Zhou’s contributions established a technical foundation for future protein modeling, demonstrating depth in both engineering implementation and scientific application.