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WizardLM EU AI Act Compliance Profile

Microsoft Research

Risk Classification
LIMITED RISK
Art. 50, 52
Limited Risk AI System
Model Info
Provider Info
ProviderMicrosoft Research
Categorychatbot
Obligations
2apply
~12h effort
AI Literacy (Art. 4)
AI Disclosure (Art. 50)
$ npx complior scan

Your risk depends on how you use WizardLM

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as LIMITED RISK

Open-source instruction-following LLM with strong coding and reasoning performance.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for WizardLM deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED

Who does what

Microsoft Research (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • AI Literacy (Art. 4) (Art. 4)
  • AI Disclosure (Art. 50) (Art. 50)
See full obligation checklist

Risk Assessment Reasoning

This model is classified as Limited Risk under the EU AI Act. Deployers must comply with transparency obligations (Art. 50), ensuring users are informed they are interacting with an AI system. AI literacy training (Art. 4) is also required.

Similar Models

Frequently Asked Questions

What is WizardLM's EU AI Act risk classification?

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WizardLM is classified as LIMITED RISK under the EU AI Act.

What are my obligations if I deploy WizardLM?

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As a WizardLM deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.

What is WizardLM?

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WizardLM is a Unknown model. It has 0 downloads on HuggingFace.

What are the EU AI Act deadlines for WizardLM?

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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.

Check WizardLM compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan