sallani/ISO27001-Qwen2.5-0.5B-Edge

TEXT GENERATIONConcurrency Cost:1Model Size:0.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 25, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

sallani/ISO27001-Qwen2.5-0.5B-Edge is a 0.5 billion parameter Qwen2.5-based small language model, fine-tuned by Sabri Allani for specialized ISO/IEC 27001:2022 and ISO/IEC 27002:2022 expertise. Designed for on-premise and offline operation with a 32768 token context length, it excels at providing precise, actionable guidance on information security management systems. Its primary use is supporting ISO 27001 compliance, gap assessments, audit preparation, and regulatory alignment.

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ISO27001-Qwen2.5-0.5B-Edge: Specialized Information Security SLM

This model is a specialized 0.5 billion parameter Qwen2.5-based Small Language Model (SLM) fine-tuned by Sabri Allani specifically for ISO/IEC 27001:2022 and ISO/IEC 27002:2022 standards. It is designed for on-premise, offline, and sovereign operation, ensuring no data leaves your infrastructure. The model was fine-tuned on 199 unique Q&A pairs covering the full ISO 27001:2022 requirements, including clauses 4-10, all 93 Annex A controls, gap assessment, audit preparation, and regulatory alignment with NIS2, DORA, and GDPR.

Key Capabilities

  • ISMS Gap Assessment: Evaluates maturity and identifies non-conformities.
  • ISO 27001 Audit Support: Provides guidance on clauses, Annex A controls, and expected audit evidence.
  • CISO / DPO Advisory: Assists with risk management, risk treatment plans, and Statements of Applicability.
  • Certification Preparation: Helps with auditor checklists and mandatory documentation.
  • Regulatory Alignment: Maps ISO 27001 to regulations like NIS2, DORA, GDPR, and ISO 42001.
  • Bilingual Support: Operates in both French and English.

Good for

This model is ideal for organizations and professionals seeking an AI agent to assist with ISO 27001 compliance, particularly for tasks requiring detailed knowledge of the standard's requirements and controls. Its offline capability makes it suitable for sensitive environments where data privacy and sovereignty are paramount. While powerful for its size, users should note its 0.5B parameter limitation compared to larger models and always validate answers with a certified expert.

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