VideoLLaMA3 2B EU AI Act Compliance Profile
DAMO-NLP-SG
Your risk depends on how you use VideoLLaMA3 2B
| 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
VideoLLaMA3 2B is a video text to text model by DAMO-NLP-SG. It has 2 billion parameters. Fine-tuned from Qwen/Qwen2.5-1.5B-Instruct. Built with transformers. Supports en. Licensed under apache-2.0. 7.3K downloads on HuggingFace.
Applicable Articles
Who does what
DAMO-NLP-SG (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 VideoLLaMA3 2B's EU AI Act risk classification?
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VideoLLaMA3 2B is classified as MINIMAL under the EU AI Act. The model has 2B parameters.
What are my obligations if I deploy VideoLLaMA3 2B?
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As a VideoLLaMA3 2B deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is VideoLLaMA3 2B?
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VideoLLaMA3 2B is a Video Text To Text model by DAMO-NLP-SG. It has 7.3K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for VideoLLaMA3 2B?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check VideoLLaMA3 2B compliance in your codebase
One command to scan. Open-source CLI.