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MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit EU AI Act Compliance Profile

Jackrong

Text Generationapache-2.0mlx
Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
Model Info
27Bparameters
PipelineText Generation
Librarymlx
Licenseapache-2.0
Base ModelJackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2
Languagesen, zh, ko
CreatedMar 2026
SyncedApr 3, 2026
Popularity
5.8Kdownloads
28 likes
View on HuggingFace
Obligations
3apply
~16h effort
AI Literacy (Art. 4)
AI Disclosure (Art. 50)
Synthetic Content Labeling (Art. 50)
$ npx complior scan

Your risk depends on how you use MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as GPAI

MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit is a text generation model by Jackrong. It has 27 billion parameters. Fine-tuned from Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2. Built with mlx. Supports en, zh, ko. Licensed under apache-2.0. 5.8K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED

Who does what

Jackrong (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • AI Literacy (Art. 4) (Art. 4)
  • AI Disclosure (Art. 50) (Art. 50)
  • Synthetic Content Labeling (Art. 50) (Art. 50)
See full obligation checklist

Risk Assessment Reasoning

This model is classified as General-Purpose AI (GPAI) under the EU AI Act. GPAI providers must comply with transparency obligations (Art. 53), including technical documentation and copyright policy disclosure. Deployers must ensure AI literacy training (Art. 4) for all staff interacting with the system. Text generation models may produce synthetic content; deployers using this for public-facing applications must disclose AI-generated content (Art. 50).

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Frequently Asked Questions

What is MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit's EU AI Act risk classification?

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MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit is classified as GPAI under the EU AI Act. However, the risk level of your specific deployment depends on your use case: internal tools may be Minimal risk, while HR screening or credit decisions escalate to High Risk. The model has 27B parameters.

What are my obligations if I deploy MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit?

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As a MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit deployer, you have 3 base obligations (~16 hours estimated effort). Key articles: Art. 4, Art. 50.

What is MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit?

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MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit is a Text Generation model by Jackrong. It has 5.8K downloads on HuggingFace. Licensed under apache-2.0.

What are the EU AI Act deadlines for MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit?

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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02. Already passed: Synthetic Content Labeling (Art. 50) — 2025-08-02.

Check MLX Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled v2 4bit compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan