Python · Custom (see repository)

Model-Card

A standards-anchored template system for documenting large language models: a single YAML master source generates synchronised Word, Excel, Markdown, and JSON outputs, with role-based guidance for developers, reviewers, auditors, and downstream integrators.

Last reviewed: 2026-08-24

What it is

A versioned schema (a 'master contract' defining every field's type and requirement status) plus rendering and validation scripts, anchored to NIST AI RMF 1.0, ISO/IEC 42001, and the EU AI Act. The rule the README states plainly: never hand-edit a generated file — edit the YAML and re-render.

Why it's here

This site's own glossary defines a model card as documentation of a model's capabilities, limitations, and known risks. This repo is a working answer to the practical failure mode that definition doesn't cover: four different audiences each want the model card in a different format, and those four copies drift apart the moment any one of them is hand-edited.

Governance notes.

What this demonstrates about governed AI — not a feature list, a connection back to the same discipline the rest of this site argues for.

Single source, multiple outputs

A schema-versioned YAML file generates every downstream format, so a model card can't quietly drift out of sync with itself across a Word version, an Excel version, and a Markdown version.

See the related entry in the library →

Role-based guidance

Separate guidance for developers, reviewers, auditors, and downstream integrators — the same audience-register discipline this site applies to board, heads-of, and practitioner readers, applied to one document instead of one site.

Public code, not a live demo — yet.

No hosted demo is embedded here. The repository is the thing to read.