sallani/ISO42001-Qwen2.5-0.5B-Edge

TEXT GENERATIONConcurrency Cost:1Model Size:0.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 27, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The sallani/ISO42001-Qwen2.5-0.5B-Edge is a specialized 0.5 billion parameter Qwen2.5-Instruct based language model, fine-tuned by sallani for AI Management Systems (AIMS) based on ISO/IEC 42001:2023. This model provides precise, clause-referenced answers on AI governance, the EU AI Act, and GDPR as applied to AI, supporting both French and English. It is optimized for fully on-premise and offline deployment, making it ideal for compliance professionals seeking secure, localized AI governance insights.

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Overview of ISO42001-Qwen2.5-0.5B-Edge

This model is a specialized Small Language Model (SLM) developed by sallani, fine-tuned from the Qwen2.5-0.5B-Instruct base model. It is specifically designed to provide expert guidance on ISO/IEC 42001:2023 (AI Management System), the first international standard for AI governance. The model also covers related topics such as the EU AI Act and GDPR in the context of AI.

Key Capabilities

  • Specialized Knowledge: Offers precise, clause-referenced answers on ISO/IEC 42001:2023, including clauses 4–10 and Annex A controls (e.g., A.2 policies, A.6 AI system operation, A.7 transparency, A.8 data governance, A.10 supply chain).
  • Regulatory Mapping: Provides insights into the mapping between the EU AI Act and ISO 42001, including risk levels and obligations. It also integrates ISO 27001 and GDPR with ISO 42001 for a unified governance approach.
  • Practical Topics: Addresses practical aspects like AI Impact Assessments (A.6.1), human oversight requirements (A.6.2), Statement of Applicability (SoA), AI system registers, and model cards.
  • Multilingual Support: Capable of responding in both French and English.
  • Offline Deployment: Engineered for full on-premise and offline operation, ensuring no data is sent to external cloud services. It is compatible with CPU via GGUF (8 GB RAM minimum) and optimized for Apple Silicon via MLX, supporting tools like Ollama, llama.cpp, and LM Studio.

Ideal Use Cases

This model is particularly suited for CISOs, DPOs, CAIOs, and GRC consultants who require a secure, localized, and specialized tool for navigating the complexities of AI governance and compliance. It serves as an invaluable resource for understanding and implementing AI Management Systems in line with international standards and regulations.

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