Worked on stabilizing the Mllama cross-attention mechanism in eager mode within the huggingface/optimum-habana repository, focusing on a critical bug affecting Llama 3.2 integration. Addressed a masking issue by implementing a cloned attention mask during index copying, which prevented unintended modifications to the original mask and improved the correctness of cross-attention operations. Utilized Python and deep learning techniques, particularly in the context of model optimization and transformers. This targeted fix enhanced the reliability and predictability of production deployments on Habana hardware, reducing debugging time and ensuring more stable machine learning workflows for users relying on optimum-habana.