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ReaderLM v2 EU AI Act Compliance Profile

jinaai

Text Generationcc-by-nc-4.0transformers
① Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
② Model Info
PipelineText Generation
Librarytransformers
Licensecc-by-nc-4.0
Languagesmultilingual
CreatedJan 2025
SyncedApr 3, 2026
③ Popularity
16.4Kdownloads
773 likes
View on HuggingFace ↗
④ 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 ReaderLM v2

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

ReaderLM v2 is a text generation model by jinaai. Built with transformers. Supports multilingual. Licensed under cc-by-nc-4.0. 16.4K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
›
Obligation under Art. 4 for ReaderLM v2 deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED
›

Who does what

jinaai (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. Text generation models may produce synthetic content; deployers using this for public-facing applications must disclose AI-generated content (Art. 50).

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Frequently Asked Questions

What is ReaderLM v2's EU AI Act risk classification?

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ReaderLM v2 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 ReaderLM v2?

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As a ReaderLM v2 deployer, you have 3 base obligations (~16 hours estimated effort). Key articles: Art. 4, Art. 50.

What is ReaderLM v2?

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ReaderLM v2 is a Text Generation model by jinaai. It has 16.4K downloads on HuggingFace. Licensed under cc-by-nc-4.0.

What are the EU AI Act deadlines for ReaderLM v2?

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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 ReaderLM v2 compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan