principled-intelligence/scope-guard-4B-q-2601

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Jan 19, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

ScopeGuard-4B-q-2601 by Principled Intelligence is a 4 billion parameter small language model (SLM) with a 40960 token context length, specifically designed for multilingual scope classification in AI governance. Distilled from a proprietary model, it excels at making reliable, consistent, and policy-driven decisions, outperforming larger frontier LLMs on governance tasks while offering significantly lower latency and deployment costs. Its primary use case is to act as an early gate in production AI systems, ensuring user requests align with predefined service boundaries and safety policies.

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ScopeGuard: A Specialized SLM for AI Governance

ScopeGuard-4B-q-2601 is a 4 billion parameter small language model (SLM) developed by Principled Intelligence, specifically engineered for multilingual scope classification and AI governance. Unlike general-purpose LLMs, ScopeGuard is optimized for making reliable, consistent, and policy-driven decisions with low latency, making it ideal for inline deployment in production systems.

Key Capabilities

  • Multilingual Scope Classification: Determines if a user request is within or out of scope for an AI service across English, Spanish, Italian, French, and German.
  • Vanilla Safety Classification: Competitively detects generic safety policy violations (e.g., toxicity) using simple prompts.
  • Custom Safety Classification: Effectively enforces explicit, user-defined policies, demonstrating a clear advantage with complex or dynamic constraints.
  • High Performance, Low Latency: Outperforms commercial frontier LLMs on its primary governance tasks while achieving sub-second inference speeds on consumer-grade GPUs.

Good for

  • Early gate enforcement for customer-facing AI assistants, routing or denying out-of-scope queries.
  • Inline guardrailing for agentic systems, performing pre-checks before tool execution.
  • Enterprise governance layers requiring strict adherence to explicit behavioral boundaries and policies.
  • Analytics and routing pipelines that benefit from explainable classification for monitoring and reporting.

ScopeGuard is a distilled version of a proprietary model, offering a cost-effective and fast solution for critical AI governance needs. For more details, refer to the quickstart Colab notebook or the GitHub repo.