Model Card
A standardized technical document released alongside an AI model, first proposed by Google researchers in 2018. It contains information on model purpose, training data, evaluation results, and risk disclosures, and represents a fundamental norm for responsible AI publication.
Core Facts
A Model Card is a standardized document published by the model developer, typically containing information such as the model's intended use, an overview of training data, known limitations, and risk assessments.
模型卡（Model Card）由Google研究员于2018年首次提出并推广，包含模型用途、训练数据、基准测试结果、偏见风险及许可条款
Timeline (last 90 days)
According to Hugging Face's official documentation, a model card should include intended use, training data, evaluation results and more.
Model cards typically cover the model's intended use, an overview of training data, evaluation results, known limitations, suitable and unsuitable scenarios, and ethical risk disclosures.
For open-weight model releases, a more rational attitude is to focus on the technical reports and model cards officially released later, rather than judging solely on teasers.
The model card was originally proposed by Google in 2019.
There is currently no mandatory standard for model cards in the industry, and the level of disclosure varies greatly among vendors.
The two practices of red teaming and model cards are currently mostly adopted voluntarily by companies and have not yet become legal requirements.
Model Cards and System Cards, promoted by companies such as OpenAI and Google, require that models be released with accompanying documentation of known limitations and risks.
A Model Card is a standardized document published by the model developer, typically containing information such as the model's intended use, an overview of training data, known limitations, and risk assessments.
Server-side dynamic metrics (such as TTFT and error rate) fluctuate with traffic and infrastructure, and should be part of service gates rather than written into static model cards
模型卡（Model Card）由Google研究员于2018年首次提出并推广，包含模型用途、训练数据、基准测试结果、偏见风险及许可条款
All Facts (10)
A Model Card is a standardized document published by the model developer, typically containing information such as the model's intended use, an overview of training data, known limitations, and risk assessments.
75%Verified模型卡（Model Card）由Google研究员于2018年首次提出并推广，包含模型用途、训练数据、基准测试结果、偏见风险及许可条款
65%UnverifiedAccording to Hugging Face's official documentation, a model card should include intended use, training data, evaluation results and more.
50%UnverifiedFor open-weight model releases, a more rational attitude is to focus on the technical reports and model cards officially released later, rather than judging solely on teasers.
50%UnverifiedModel cards typically cover the model's intended use, an overview of training data, evaluation results, known limitations, suitable and unsuitable scenarios, and ethical risk disclosures.
50%UnverifiedThere is currently no mandatory standard for model cards in the industry, and the level of disclosure varies greatly among vendors.
50%UnverifiedThe model card was originally proposed by Google in 2019.
50%UnverifiedThe two practices of red teaming and model cards are currently mostly adopted voluntarily by companies and have not yet become legal requirements.
50%UnverifiedModel Cards and System Cards, promoted by companies such as OpenAI and Google, require that models be released with accompanying documentation of known limitations and risks.
50%UnverifiedServer-side dynamic metrics (such as TTFT and error rate) fluctuate with traffic and infrastructure, and should be part of service gates rather than written into static model cards
50%