Write Model Cards
Document intended use, limits, and ethical risks.
Write Model Cards is a free MLOps Academy lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the MLOps Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
What a Model Card Is
A model card is a short document that explains what a model does, who it is for, and where it should not be used. 📇
Why Cards Matter
Without a card, knowledge lives only in someone's head. A card makes a model's intended use and limits readable by anyone.
Intended Use Comes First
State the intended use plainly: what problem the model solves and the kind of inputs it expects in production.
Spell Out the Limits
List out-of-scope uses too. A fraud model trained on one country may fail elsewhere, so name those limitations clearly.
Describe the Training Data
Summarize the training data: its source, time range, and any known gaps. Readers must know what the model has actually seen.
Report Performance Honestly
Give metrics, but also break them down by subgroup so a strong overall score does not hide weak spots for some users.
Name the Ethical Risks
Call out ethical risks like bias or misuse up front. Naming a risk is the first step to managing it responsibly.
Keep It Short and Living
A card is a one-page summary, not a thesis. Treat it as a living document you update every time the model changes.
Store It With the Model
Keep the card next to the model in version control or the registry so the right card always travels with the right version.
A Tiny Card in Code
You can attach a card as a structured artifact, here a simple dict logged alongside the model.
card = {
"name": "fraud_v3",
"intended_use": "flag risky transactions",
"limitations": "trained on EU data only",
}
mlflow.log_dict(card, "model_card.json")Tools That Help
Google's Model Card Toolkit and Hugging Face card templates give you a ready structure so you fill blanks instead of inventing one.
Quick Check
Pick what belongs at the heart of a good model card.
Recap
You now know a model card records intended use, data, performance by group, and risks, stored with the model and kept current. ✅
Frequently asked questions
Is the “Write Model Cards” lesson free?
Yes — the full text of “Write Model Cards” is free to read here on the web, and the MLOps Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the MLOps Academy course, upgrade to CoddyKit PRO.
What will I learn in “Write Model Cards”?
Document intended use, limits, and ethical risks. You practise MLOps Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start MLOps Academy?
No prior experience is required. MLOps Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Write Model Cards” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this MLOps Academy lesson?
Yes. Every MLOps Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.