Contributed to the mlcommons/inference repository by expanding interactive latency benchmarking configurations for the Llama2-70b model, enabling more precise performance measurements through new latency limit settings in Python. Addressed configuration management challenges by correcting latency naming inconsistencies and updating documentation in Markdown to clarify interactive latency requirements, which reduced user confusion and support needs. Further improved project documentation by aligning the README with the updated MLPerf Inference v5.1 submission deadline, supporting smoother coordination for contributors. The work focused on configuration management, documentation, and performance benchmarking, emphasizing clarity and accuracy to facilitate reliable benchmarking and streamlined submission processes for the community.