November 2025 monthly summary for docker/model-runner. Focused on delivering business value through consistent, parseable output and robust size/unit handling for model listing. The month centered on a feature delivery that standardizes docker model ls output, together with code-quality and robustness improvements addressing parsing fragility and test reliability. Key outcomes: - Features delivered: - Docker model ls Output Formatting Improvements: standardizes output by removing spaces between numbers and units in the PARAMETERS and SIZE columns to enable reliable column-based parsing with tools like awk; aligns size formatting with Docker images style (e.g., 361.82M, 256MB); updated tests and regex normalization across Safetensors and GGUF. Commits: ef671b00ece933eef5e8e4cb8e6644c0497ad32d, 593ee2a6338c97d9f4724af55ca55129f5c8eca7. - Major bugs fixed: - Fixed inconsistent unit formatting in docker model ls output; improved robustness by using CustomSize for formatSize to avoid dependency on HumanSize format; tightened regex to match only valid numbers (integer or float); removed unused strings imports from safetensors package. - Overall impact and accomplishments: - Enables reliable automation and data extraction for model lists, reducing manual rework and enabling smoother CI/dashboard integrations; improved cross-tool compatibility and maintainability; updated tests to reflect new formatting. - Technologies/skills demonstrated: - Advanced string formatting and unit handling; regex-based parsing normalization; robust size handling with CustomSize; test maintenance and code-review driven improvements. Repositories: - docker/model-runner