The outcome

Share a resource that others can evaluate and use without hidden training claims, ambiguous rights, or missing technical requirements.

Step by step

A workflow you can repeat.

  1. 01

    Document training-data rights and consent, model purpose, base model, method, known limitations, prohibited uses, and the license you can grant.

  2. 02

    Remove secrets and personal data, scan the artifact, calculate hashes, and test the release in a clean environment with exact dependencies.

  3. 03

    Create representative samples with reproducible prompts and settings, label material AI content, and avoid deceptive or unauthorized likeness examples.

  4. 04

    Publish the correct model type and version with files, trained words, compatibility, permissions, safety notes, and clear commercial conditions.

  5. 05

    Monitor reports and failures, keep immutable version notes and hashes, correct claims transparently, and remove or supersede unsafe releases promptly.

Working standard

What good use looks like.

  • Publish honest provenance and limitations.
  • Test from a clean environment.
  • Keep version notes and hashes immutable.

Official references

Check the current product documentation.