AI glossary · Beginner · AI platforms & solutions · Safety & alignment
Model card
A model card is a document that describes what an AI model was built for, what data it was trained on, how to use it and what it does poorly. On Hugging Face, the README on the first screen of a model page is the model card.
About this term
- Level
- Beginner · Core ideas for first-time readers
- Category
- Infrastructure & using models
- Added
- 2026-10-12
What's in it
It usually includes a model overview, intended uses and uses to avoid, a description of the training data, evaluation results, limitations and biases, the license, and example code. It often also states which chat format to use for prompts and the recommended generation settings. At the top, information such as license, languages and tags is listed and used for search and filtering. The depth of content varies widely from one creator to another.
How to read it
Start with the license, supported languages, input/output formats and usage examples. Then check which benchmarks and under what conditions the evaluation results were produced. If the limitations and biases section is empty, it is better to treat that as a warning sign. For converted repositories such as quantized versions, also find and read the original model card.
Model card checklist
Can I use it?
- Does the license allow commercial use?
- Is Korean among the supported languages?
- Do the input/output formats fit my use case?
Can I trust it?
- Are evaluation conditions stated?
- Are limitations and biases disclosed?
- If it is a converted version, did I check the original card?
Good to know
Performance figures in a model card are the creator's claims, so verify them on your own data. If Korean support is not listed, test Korean quality separately. Missing the license section can lead you to pick a model you cannot use in a commercial service. Companies sometimes use model card content as material for AI risk management or adoption reviews.
Example
Among this site's news items is a report that Tencent released 'Youtu-Parsing-Omni', a model that parses documents, images, audio and video into a single JSON. A developer who wants to add such a model to a document-processing pipeline first checks the model card for supported input types, the output JSON structure, required memory and the license, and only then decides on a trial run.