tiny random PhiForCausalLM (HF) EU AI Act Compliance Profile
optimum-intel-internal-testing
Your risk depends on how you use tiny random PhiForCausalLM (HF)
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
tiny random PhiForCausalLM (HF) is an AI model by optimum-intel-internal-testing. Licensed under apache-2.0. 17.1K downloads on HuggingFace.
Applicable Articles
Who does what
optimum-intel-internal-testing (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
This model is classified as Minimal Risk under the EU AI Act. No mandatory compliance obligations apply, but voluntary codes of practice are encouraged. AI literacy training (Art. 4) is recommended for all deployers.
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Frequently Asked Questions
What is tiny random PhiForCausalLM (HF)'s EU AI Act risk classification?
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tiny random PhiForCausalLM (HF) is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy tiny random PhiForCausalLM (HF)?
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As a tiny random PhiForCausalLM (HF) deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is tiny random PhiForCausalLM (HF)?
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tiny random PhiForCausalLM (HF) is a Unknown model by optimum-intel-internal-testing. It has 17.1K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for tiny random PhiForCausalLM (HF)?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
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