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tiny random PhiForCausalLM EU AI Act Compliance Profile

echarlaix

Text Generationapache-2.0transformers
Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
Model Info
PipelineText Generation
Librarytransformers
Licenseapache-2.0
CreatedMar 2024
SyncedApr 3, 2026
Popularity
19.3Kdownloads
0 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 tiny random PhiForCausalLM

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

tiny random PhiForCausalLM is a text generation model by echarlaix. Built with transformers. Licensed under apache-2.0. 19.3K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for tiny random PhiForCausalLM deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED

Who does what

echarlaix (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 tiny random PhiForCausalLM's EU AI Act risk classification?

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tiny random PhiForCausalLM 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 tiny random PhiForCausalLM?

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

What is tiny random PhiForCausalLM?

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tiny random PhiForCausalLM is a Text Generation model by echarlaix. It has 19.3K downloads on HuggingFace. Licensed under apache-2.0.

What are the EU AI Act deadlines for tiny random PhiForCausalLM?

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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 tiny random PhiForCausalLM compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan