During November, Adam Fierka enhanced the HabanaAI/vllm-hpu-extension repository by delivering a focused documentation update supporting FP8 inference workflows on HPU. He improved the README using Markdown, clarifying the integration process with vLLM and Intel Neural Compressor, and refined command-line argument descriptions to reduce user misconfigurations. Adam incorporated warnings and tips to guide users through setup and calibration, drawing on his expertise in documentation and model calibration. This work aligned repository documentation with actual FP8 workflows, enabling faster onboarding and more reliable usage. The update laid groundwork for future automation and smoother enterprise adoption, though no code-level bugs were addressed.