Worked on stabilizing FP8 quantization within the intel/neural-compressor repository, focusing on resolving a regression in the PatchedKVCache module that affected inference reliability. Addressed issues where patched modules failed to delegate calls correctly to the original forward and fetch_from_cache methods, which previously led to instability and increased variance in FP8 model inference. Implemented a targeted fix in Python using PyTorch, ensuring that cache delegation patterns are robust and maintainable. This work improved the stability of FP8 quantization paths and reduced the risk of similar regressions in the future, contributing to more reliable deep learning model deployment and maintenance.