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Z Image Turbo GGUF EU AI Act Compliance Profile

jayn7

Text to Imageapache-2.0
Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
Model Info
PipelineText to Image
Licenseapache-2.0
Base ModelTongyi-MAI/Z-Image-Turbo
CreatedNov 2025
SyncedApr 3, 2026
Popularity
41.8Kdownloads
345 likes
View on HuggingFace
Obligations
3apply
~16h effort
AI Literacy (Art. 4)
AI Disclosure (Art. 50)
Synthetic Content Labeling (Art. 50)
$ npx complior scan

Your risk depends on how you use Z Image Turbo GGUF

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 GPAI

Z Image Turbo GGUF is a text-to-image generation model by jayn7. Fine-tuned from Tongyi-MAI/Z-Image-Turbo. Licensed under apache-2.0. 41.8K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for Z Image Turbo GGUF deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED

Who does what

jayn7 (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

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

Risk Assessment Reasoning

This model is classified as General-Purpose AI (GPAI) under the EU AI Act. GPAI providers must comply with transparency obligations (Art. 53), including technical documentation and copyright policy disclosure. Deployers must ensure AI literacy training (Art. 4) for all staff interacting with the system. AI-generated images must be marked as artificially generated using machine-readable labeling (Art. 50). Deepfake provisions (Art. 50(4)) may apply.

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Frequently Asked Questions

What is Z Image Turbo GGUF's EU AI Act risk classification?

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Z Image Turbo GGUF is classified as GPAI under the EU AI Act. However, the risk level of your specific deployment depends on your use case: internal tools may be Minimal risk, while HR screening or credit decisions escalate to High Risk.

What are my obligations if I deploy Z Image Turbo GGUF?

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As a Z Image Turbo GGUF deployer, you have 3 base obligations (~16 hours estimated effort). Key articles: Art. 4, Art. 50.

What is Z Image Turbo GGUF?

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Z Image Turbo GGUF is a Text to Image model by jayn7. It has 41.8K downloads on HuggingFace. Licensed under apache-2.0.

What are the EU AI Act deadlines for Z Image Turbo GGUF?

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

Check Z Image Turbo GGUF compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan