Qwen2.5-VL-7B-Instruct-AWQ EU AI Act Compliance Profile
Qwen
Your risk depends on how you use Qwen2.5-VL-7B-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
Qwen2.5-VL-7B-Instruct-AWQ is a image text to text model by Qwen. It has 7 billion parameters. Fine-tuned from Qwen/Qwen2.5-VL-7B-Instruct. Built with transformers. Supports en. Licensed under apache-2.0. 378.5K downloads on HuggingFace.
Applicable Articles
Who does what
Qwen (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 Qwen2.5-VL-7B-Instruct-AWQ model is a multimodal AI tool that processes both image and text data, which may pose some risks related to misinformation or bias, but it does not fall under the high-risk categories outlined in the EU AI Act.
More models by Qwen
Similar Image Text To Text models
Frequently Asked Questions
What is Qwen2.5-VL-7B-Instruct-AWQ's EU AI Act risk classification?
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Qwen2.5-VL-7B-Instruct-AWQ is classified as LIMITED RISK under the EU AI Act. The model has 7B parameters.
What are my obligations if I deploy Qwen2.5-VL-7B-Instruct-AWQ?
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As a Qwen2.5-VL-7B-Instruct-AWQ deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is Qwen2.5-VL-7B-Instruct-AWQ?
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Qwen2.5-VL-7B-Instruct-AWQ is a Image Text To Text model by Qwen. It has 378.5K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for Qwen2.5-VL-7B-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 Qwen2.5-VL-7B-Instruct-AWQ compliance in your codebase
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