Enter a model on Hugging Face, in a format <organization-or-username>/<model-name> (easy copy button), or model's URL, to generate AI SBOM in CycloneDX format. You can browse available models in the Hugging Face models repository.
This open-source tool helps you generate AI SBOMs for models hosted on Hugging Face. It automatically extracts and formats key information—such as model metadata, training datasets, dependencies, and configurations—into a standardized, machine-readable SBOM using the CycloneDX JSON format. While not all models have consistent metadata quality and much of the information is unstructured, this tool helps navigate those gaps by extracting available data and organizing it into a clear, standardized structure to support transparency, security, and compliance. Read more.
An AI SBOM (Artificial Intelligence Software Bill of Materials, also known as AIBOM / ML-BOM or SBOM for AI) is a detailed, structured inventory that lists the components and dependencies involved in building and operating an AI system—such as pre-trained models, datasets, libraries, and configuration parameters. Much like a traditional SBOM for software, an AI SBOM brings transparency to what goes into an AI system, enabling organizations to assess security, compliance, and ethical risks. It is essential for managing AI supply chain risks, supporting regulatory requirements, ensuring model provenance, and enabling incident response and audits. As AI systems grow more complex and widely adopted, AI SBOMs become critical for maintaining trust, accountability, and control over how AI technologies are developed, integrated, and deployed.
If you encountered any problems, found a bug, or have suggestions for improvement, we'd love to hear from you!
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