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tiny random LlamaForCausalLM EU AI Act Compliance Profile

trl-internal-testing

Text Generationtransformers
Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
Model Info
PipelineText Generation
Librarytransformers
CreatedMar 2023
SyncedApr 3, 2026
Popularity
562.1Kdownloads
8 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 LlamaForCausalLM

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 LlamaForCausalLM is a text generation model by trl-internal-testing. Built with transformers. 562.1K downloads on HuggingFace.

Applicable Articles

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

Who does what

trl-internal-testing (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 LlamaForCausalLM's EU AI Act risk classification?

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tiny random LlamaForCausalLM 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 LlamaForCausalLM?

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

What is tiny random LlamaForCausalLM?

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tiny random LlamaForCausalLM is a Text Generation model by trl-internal-testing. It has 562.1K downloads on HuggingFace.

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

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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 LlamaForCausalLM compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan