Worked on enhancing the MLX-LM documentation within the ml-explore/mlx-lm repository by integrating support details for the MiniMax-M2 model. Focused on improving model discoverability and reducing onboarding friction, the contribution involved updating Markdown-based documentation to accurately reflect current model compatibility. Leveraged Git-based version control and collaborated across teams to ensure feature parity and clear communication of supported models. The updates streamlined the integration process for users by mapping model compatibility and reducing the risk of misconfiguration. This work demonstrated skills in documentation engineering and model integration, aligning technical documentation with evolving product capabilities to facilitate quicker user decision-making.