Qwen.Qwen3 VL Embedding 2B GGUF EU AI Act Compliance Profile
DevQuasar
Your risk depends on how you use Qwen.Qwen3 VL Embedding 2B GGUF
| 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
Qwen.Qwen3 VL Embedding 2B GGUF is a image text to text model by DevQuasar. It has 2 billion parameters. Fine-tuned from Qwen/Qwen3-VL-Embedding-2B. 5.5K downloads on HuggingFace.
Applicable Articles
Who does what
DevQuasar (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 Qwen.Qwen3 VL Embedding 2B GGUF's EU AI Act risk classification?
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Qwen.Qwen3 VL Embedding 2B GGUF is classified as MINIMAL under the EU AI Act. The model has 2B parameters.
What are my obligations if I deploy Qwen.Qwen3 VL Embedding 2B GGUF?
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As a Qwen.Qwen3 VL Embedding 2B GGUF deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Qwen.Qwen3 VL Embedding 2B GGUF?
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Qwen.Qwen3 VL Embedding 2B GGUF is a Image Text To Text model by DevQuasar. It has 5.5K downloads on HuggingFace.
What are the EU AI Act deadlines for Qwen.Qwen3 VL Embedding 2B GGUF?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check Qwen.Qwen3 VL Embedding 2B GGUF compliance in your codebase
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