Free tool · Checklist v1.0

Model Card Generator for Open-Weight Models

Fill in six core details, add whatever safety evidence you already have, and export a Hugging Face-ready Markdown Model Card plus a structured JSON file.

No signup required · No model weights uploaded · Your draft stays in this browser

Free local-first tool

Describe the model

Six core fields are enough to generate a first draft. Nothing in this form is sent to our servers.

Model name or Hugging Face model ID

Model architecture

Parameter count

Training data description

License

Repository URL (optional)

Intended use

Known limitations (optional)

Add safety evidence (optional)

Leave these blank to generate an evidence-gap report. Partial claims are marked “Needs evidence.”

Performance benchmark

Evaluation status

Benchmark name

Evaluation date

Score or result

Evidence URL

Jailbreak evaluation

Evaluation status

Tool or method

Evaluation date

Result summary

Evidence URL

Harmful-content evaluation

Evaluation status

Tool or dataset

Evaluation date

Result summary

Evidence URL

Bias evaluation

Evaluation status

Method or dataset

Evaluation date

Result summary

Evidence URL

Training-data license evidence

Evaluation status

License name

Evaluation date

Evidence summary

Evidence URL

Import JSON

Why does an open-weight model need a Model Card?

A Model Card gives people the context they need to use a model responsibly: what it is, what it was trained for, what it should not be used for, how it was evaluated, and where its limitations are.

Open weights make distribution easier, but they do not automatically explain training data, licenses, known failure modes, or the evidence behind performance and safety claims. This generator turns those release questions into a checklist you can review before publishing.

What the status labels mean

Documented means the field has the information expected for that type of claim.
Needs evidence means a claim exists, but it lacks a method, date, result, or source.
Missing means the field has not been documented yet.

Read the full checklist methodology →