Bo Peng enhanced quantized large language model (LLM) compatibility for NPU hardware in the openvinotoolkit/nncf repository. He updated the ONNX opset to version 21 and replaced the MatMulNBits operation with DequantizeLinear, addressing NPU compiler requirements and enabling quantized LLM models to execute efficiently on specialized hardware. This work involved Python development and a deep understanding of ONNX model optimization and NPU architecture. By focusing on LLM compression and model optimization, Bo Peng’s contribution unlocked new deployment options for quantized models, though the scope was limited to a single feature delivered over one month without additional bug fixes.