Llama-3.3-70B-Instruct-AWQ EU AI Act Compliance Profile
kosbu
Your risk depends on how you use Llama-3.3-70B-Instruct-AWQ
| 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 LIMITED RISK
Llama-3.3-70B-Instruct-AWQ is a text generation model by kosbu. It has 70 billion parameters. Fine-tuned from meta-llama/Llama-3.3-70B-Instruct. Built with transformers. Supports en, fr, it, pt, hi. Licensed under llama3.3. 471.1K downloads on HuggingFace.
Applicable Articles
Who does what
kosbu (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
The Llama-3.3-70B-Instruct-AWQ is a text-generation model that can potentially produce harmful or biased content, but it does not fall into the high-risk categories defined by the EU AI Act. Its applications are primarily for research and development, which limits its risk profile.
Similar Models
Frequently Asked Questions
What is Llama-3.3-70B-Instruct-AWQ's EU AI Act risk classification?
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Llama-3.3-70B-Instruct-AWQ is classified as LIMITED RISK under the EU AI Act. The model has 70B parameters.
What are my obligations if I deploy Llama-3.3-70B-Instruct-AWQ?
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As a Llama-3.3-70B-Instruct-AWQ deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is Llama-3.3-70B-Instruct-AWQ?
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Llama-3.3-70B-Instruct-AWQ is a Text Generation model by kosbu. It has 471.1K downloads on HuggingFace. Licensed under llama3.3.
What are the EU AI Act deadlines for Llama-3.3-70B-Instruct-AWQ?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check Llama-3.3-70B-Instruct-AWQ compliance in your codebase
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