Open-weight release documentation

Ship models with better safety documentation.

Fill in a few model details and generate a release-ready Model Card, safety checklist, and evidence-gap report—without uploading model weights.

No signup required · Markdown + JSON export · Saved only in this browser

acme/open-7bNeeds evidence
  • Model identity documented
  • Intended use documented
  • Evaluation evidence incomplete
  • Safety limitations missing
Download MarkdownExport JSON

A smaller release workflow

Describe. Review. Export.

The first version focuses on the work model authors need before they publish—not a giant governance platform.

01

Describe

Enter six core model details or start with a Generic template. Keep the first draft moving.

02

Review

See which claims are documented, which need evidence, and which release details are still missing.

03

Export

Copy a readable Markdown Model Card or download the structured OpenWeight Safety JSON.

Checklist coverage

Make the important gaps visible.

A blank field is not proof that a model is unsafe. It is a signal that the release documentation needs attention.

Model identity and versionArchitecture, parameter count, repository and release context.
Intended and out-of-scope useWho the model is for, and where human review is expected.
Training data disclosureSources, licensing, known gaps and sensitive-data considerations.
Evaluation evidenceBenchmarks, jailbreak, harmful-content, bias and privacy notes.
Limitations and mitigationsKnown failure modes, residual risk and release restrictions.
Next recommended testsA practical bridge from documentation gaps to red-team tools.

Transparent by design

Useful without pretending to certify a model.

This checklist draws on Model Cards research, Hugging Face guidance, NIST AI RMF, OWASP guidance for LLM applications, and publicly documented transparency requirements. It helps organize evidence; it does not replace a security review or legal advice.

Local-first promise
Your form responses stay in this browser's local storage. Model weights are never uploaded.

Open source direction

Start with documentation. Grow into repeatable checks.

The future CLI will share the same schema as the website, so a model author can validate a release in a local workflow or CI without running arbitrary model code.

OpenWeight Safety Checklist v1.0

Schema 1.0.0 · Markdown + JSON · Deterministic status rules

Read the methodology →

Questions before you start

Frequently asked questions

What is an open-weight model?

An open-weight model makes its trained parameters available for download or use, while its training data, license, and usage rights may still have important restrictions.

Does this tool upload my model weights?

No. The MVP runs the form and document generation in your browser. It does not download or upload model weights.

Is this a safety certification?

No. It helps organize documentation and identify evidence gaps. It is not a safety certification, legal opinion, or guarantee of model behavior.

Can I export the result to Hugging Face?

Yes. The Markdown output is structured to be copied into a Hugging Face README.md and edited before release.

Ready when you are

Generate your first release draft.

No account, no model upload, no paywall on the first useful result.

Open the generator