Qwen3 VL 2B RRG SFT EU AI Act Compliance Profile
dmusingu
Your risk depends on how you use Qwen3 VL 2B RRG SFT
| 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
Qwen3 VL 2B RRG SFT is a image text to text model by dmusingu. It has 2 billion parameters. Built with transformers. 6.5K downloads on HuggingFace.
Applicable Articles
Who does what
dmusingu (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 Qwen3 VL 2B RRG SFT's EU AI Act risk classification?
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Qwen3 VL 2B RRG SFT is classified as MINIMAL under the EU AI Act. The model has 2B parameters.
What are my obligations if I deploy Qwen3 VL 2B RRG SFT?
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As a Qwen3 VL 2B RRG SFT deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Qwen3 VL 2B RRG SFT?
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Qwen3 VL 2B RRG SFT is a Image Text To Text model by dmusingu. It has 6.5K downloads on HuggingFace.
What are the EU AI Act deadlines for Qwen3 VL 2B RRG SFT?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check Qwen3 VL 2B RRG SFT compliance in your codebase
One command to scan. Open-source CLI.