Developed a dynamic quantization configuration feature for Mixtral models in the HabanaAI/vllm-hpu-extension repository, focusing on adapting quantization settings based on the PT_HPU_LAZY_MODE environment variable. The work introduced a non-lazy optimization path using scale_format set to CONST, ensuring that quantization parameters align with the hardware’s operational mode. This approach reduced the risk of misconfiguration between lazy and non-lazy modes and improved hardware-specific performance for HPU deployments. The implementation relied on Shell scripting and leveraged expertise in model quantization and performance optimization, emphasizing robust configuration management and correctness without addressing bug fixes during the development period.