tiny random GPTNeoXForCausalLM EU AI Act Compliance Profile
optimum-intel-internal-testing
Your risk depends on how you use tiny random GPTNeoXForCausalLM
| 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 GPTNeoXForCausalLM is an AI model by optimum-intel-internal-testing. 16.8K 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 GPTNeoXForCausalLM's EU AI Act risk classification?
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tiny random GPTNeoXForCausalLM is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy tiny random GPTNeoXForCausalLM?
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As a tiny random GPTNeoXForCausalLM deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is tiny random GPTNeoXForCausalLM?
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tiny random GPTNeoXForCausalLM is a Unknown model by optimum-intel-internal-testing. It has 16.8K downloads on HuggingFace.
What are the EU AI Act deadlines for tiny random GPTNeoXForCausalLM?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
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