Model cards are documentation pages for every model on the Hub — they describe what the model does, how it was trained, what it's good at, and what risks it carries.

What a Good Model Card Contains

• Model description: Architecture, training data, intended use
• Performance metrics: Benchmark results on standard datasets
• Intended use and limitations: What it's designed for and where it fails
• Bias and risks: Known failure modes and biases
• License: Commercial use permissions

Why They Matter

Always read the model card before using a model in production. The license and limitations sections are critical — some models prohibit commercial use entirely.

Reference:

Model cards documentation

https://huggingface.co/docs/hub/model-cards