Qwen3 Embedding 0.6B 250 v1 GGUF EU AI Act Compliance Profile
ENOSYS
Your risk depends on how you use Qwen3 Embedding 0.6B 250 v1 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
Qwen3 Embedding 0.6B 250 v1 GGUF is a feature extraction model by ENOSYS. It has 600 million parameters. Fine-tuned from unsloth/Qwen3-Embedding-0.6B. Built with sentence-transformers. Supports en, ru. Licensed under apache-2.0. 17.8K downloads on HuggingFace.
Applicable Articles
Who does what
ENOSYS (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 Embedding 0.6B 250 v1 GGUF's EU AI Act risk classification?
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Qwen3 Embedding 0.6B 250 v1 GGUF is classified as MINIMAL under the EU AI Act. The model has 600M parameters.
What are my obligations if I deploy Qwen3 Embedding 0.6B 250 v1 GGUF?
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As a Qwen3 Embedding 0.6B 250 v1 GGUF deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Qwen3 Embedding 0.6B 250 v1 GGUF?
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Qwen3 Embedding 0.6B 250 v1 GGUF is a Feature Extraction model by ENOSYS. It has 17.8K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for Qwen3 Embedding 0.6B 250 v1 GGUF?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check Qwen3 Embedding 0.6B 250 v1 GGUF compliance in your codebase
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