Worked on optimizing local chat performance for the kvcache-ai/ktransformers repository by focusing on NPU hardware integration. Leveraged Python programming and deep learning expertise to enhance model loading and device management, introducing a dedicated configuration file tailored for NPU operations. This update aimed to improve stability and responsiveness of local chat deployments on specialized hardware, addressing specific issues related to device handling. The work also included a targeted bug fix to resolve instability in NPU-based chat sessions. These contributions established a foundation for future NPU performance improvements and streamlined hardware-specific deployments, demonstrating a methodical approach to machine learning infrastructure optimization.