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Lollms Webui EU AI Act Compliance Profile

ParisNeo · Visit website

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

Your risk depends on how you use Lollms Webui

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

Lord of Large Language and Multi modal Systems Web User Interface

Applicable Articles

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

Who does what

ParisNeo (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

The tool is a large language model (LLM) focused on text generation, which may pose risks related to misinformation and content generation, but does not fall into the high-risk categories defined by the EU AI Act.

Similar Models

Frequently Asked Questions

What is Lollms Webui's EU AI Act risk classification?

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Lollms Webui is classified as LIMITED RISK under the EU AI Act.

What are my obligations if I deploy Lollms Webui?

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

What is Lollms Webui?

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Lollms Webui is a Unknown model. It has 0 downloads on HuggingFace.

What are the EU AI Act deadlines for Lollms Webui?

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

Check Lollms Webui compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan