DeepSeek-R1-0528-Qwen3-8B-MLX-8bit EU AI Act Compliance Profile
lmstudio-community
Your risk depends on how you use DeepSeek-R1-0528-Qwen3-8B-MLX-8bit
| 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
DeepSeek-R1-0528-Qwen3-8B-MLX-8bit is a text generation model by lmstudio-community. It has 8 billion parameters. Fine-tuned from deepseek-ai/DeepSeek-R1-0528-Qwen3-8B. Built with mlx. Licensed under mit. 333.6K downloads on HuggingFace.
Applicable Articles
Who does what
lmstudio-community (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 tool is a text-generation and conversational AI model, which typically poses limited risks related to misinformation and user interaction. However, it does not fall under high-risk categories such as biometric identification or critical infrastructure.
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Frequently Asked Questions
What is DeepSeek-R1-0528-Qwen3-8B-MLX-8bit's EU AI Act risk classification?
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DeepSeek-R1-0528-Qwen3-8B-MLX-8bit is classified as LIMITED RISK under the EU AI Act. The model has 8B parameters.
What are my obligations if I deploy DeepSeek-R1-0528-Qwen3-8B-MLX-8bit?
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As a DeepSeek-R1-0528-Qwen3-8B-MLX-8bit deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is DeepSeek-R1-0528-Qwen3-8B-MLX-8bit?
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DeepSeek-R1-0528-Qwen3-8B-MLX-8bit is a Text Generation model by lmstudio-community. It has 333.6K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for DeepSeek-R1-0528-Qwen3-8B-MLX-8bit?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
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