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<title>AIBOM Generator</title>
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<div class="container">
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{% set hide_generate_another = true %}
{% include 'includes/header.html' %}
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<h2>Generate AIBOM</h2>
<p>
Enter a model on Hugging Face, in a format
<code><organization-or-username>/<model-name></code> (easy copy button), or model's URL, to
generate AIBOM in CycloneDX format. You can browse available models in the <a
href="https://huggingface.co/models" target="_blank" rel="noopener noreferrer">Hugging Face models
repository</a>.
</p>
<form id="sbom-form" action="/generate" method="post"
style="display: flex; flex-direction: row; align-items: center; width: 100%;">
<input type="text" name="model_id" id="model-input" placeholder="e.g., openai/whisper-tiny" required
style="flex: 1; max-width: 70%; margin-right: 10px;">
<button type="submit" id="generate-button" disabled
onclick="this.disabled=true; this.innerText='Generating...'; document.getElementById('sbom-form').submit();">Generate
AIBOM</button>
</form>
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<div class="content-section">
<h2>About This Tool</h2>
<p>This open-source tool generates AIBOM (AI Bill of Materials) for models hosted on Hugging Face. It
automatically extracts and formats key information about AI models into a standardized, machine-readable
SBOM (Software Bill of Materials) using the CycloneDX JSON format. Because metadata quality varies
across models and much of the information is unstructured, the tool analyzes what is available,
organizes it into a consistent structure, and provides an AIBOM completeness score that evaluates how
well the model is documented. This helps users quickly understand documentation gaps and supports
transparency, security, and compliance. The tool is also listed on <a
href="https://cyclonedx.org/tool-center/" target="_blank" rel="noopener noreferrer">CycloneDX Tool
Center</a>.</p>
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<!-- Introduction Section -->
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<h2>Understanding AIBOMs</h2>
<p>An AIBOM (Artificial Intelligence Bill of Materials, also known as AI/ML-BOM, AI SBOM, 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 AIBOM 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, AIBOMs become critical
for maintaining trust, accountability, and control over how AI technologies are developed, integrated,
and deployed.</p>
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