The outcome

Adopt an exact model revision that is legally usable, technically reproducible, and safe to execute in the intended environment.

Step by step

A workflow you can repeat.

  1. 01

    Define the task, modalities, languages, quality and safety metrics, hardware, framework, model and dataset licenses, custom-code tolerance, provenance, and deployment constraints.

  2. 02

    Review the owner, model card, files, commit history, revision, dependencies, base model, datasets, evaluation claims, limitations, license, and gated or custom-code requirements.

  3. 03

    Download the pinned revision in an isolated non-privileged environment, verify hashes, scan archives and serialized weights, inspect loading code, and prohibit unreviewed network or shell access.

  4. 04

    Run a frozen representative benchmark, recording environment, inputs, outputs, quality, safety, latency, memory, errors, and comparisons with the card's claims.

  5. 05

    Approve or reject with a signed inventory of revision, hashes, licenses, lineage, tests, limitations, and mitigations, then monitor upstream changes without automatic production upgrades.

Working standard

What good use looks like.

  • Pin repository revisions and hashes.
  • Sandbox all custom model code.
  • Preserve license and lineage evidence.

Official references

Check the current product documentation.