Worked on the liguodongiot/transformers repository, focusing on improving the Gemma2DecoderLayer by addressing a critical bug related to data type handling for the attention mask. The primary effort involved correcting how float16 precision was managed, ensuring that weights were stored with the appropriate dtype to support stable and accurate FP16 inference. This fix resolved an edge case that previously impacted model reliability during deep learning workflows. The work was implemented using Python and leveraged PyTorch, applying machine learning expertise to enhance model stability. No new features were introduced during this period, with all efforts dedicated to this targeted bug fix.