It is important to document models that are used and released. Even models and code released openly are important to document thoroughly, in order to specify how to use the model, recommended and non-recommended use cases, potential harms, state or justify decisions made during training, and more. The following tools can help with documentation.
Ecosystem Graphs centralize information about models and their impact in the broader ecosystem.
An index to measure the transparency of a foundation model with respect to its inputs, development, and downstream uses or policies.
A release of several resources surrounding model cards, including templates and tools for easy documentation creation, and how these are frequently used in practice.
A standard for reporting and documenting machine learning models, for promoting and easing transparent and open model development or reporting.
A new researcher guide to releasing model or data resources, documenting the research and Hugging Face objects.
