principled-intelligence/claim-extractor-4B-q-2605
The principled-intelligence/claim-extractor-4B-q-2605 is a 4.5 billion parameter small language model (SLM) developed by Principled Intelligence, based on Qwen3.5-4B, with a 32768 token context length. It is specifically designed for reliable, consistent, and low-latency structured extraction of atomic, decontextualized claims and intents from AI conversations. This model excels at converting free-form text into auditable, fact-checkable, and routable units of information for downstream systems.
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ClaimExtractor: Structured Extraction for AI Conversations
ClaimExtractor is a small language model (SLM) from Principled Intelligence, specifically engineered for structured extraction rather than open-ended generation. Based on Qwen3.5-4B, this 4.5 billion parameter model processes AI conversations to produce atomic, decontextualized claims and intents from the last message, optionally enhanced by an AI service description.
Key Capabilities
- Extracts Claims: Identifies factual statements categorized as Factoid, Capability, User Assertion, or Unverifiable.
- Extracts Intents: Captures explicit user goals, requests, or actions.
- Decontextualized Output: Each extraction stands alone, simplifying consumption by downstream systems like fact-checkers, intent routers, and audit pipelines.
- Optimized for Production: Designed for low-latency, high-throughput inline processing on every conversation turn, fitting on a single consumer-grade GPU.
- Improved Quality with Structured Descriptions: Benefits significantly from structured
AIServiceDescriptionfor enhanced precision.
Good For
- Fact-checking pipelines: Verifying
Factoidclaims against data sources. - Capability auditing: Ensuring
Capabilityclaims align with system functionalities. - Intent routing: Directing user requests to appropriate tools or agents.
- Compliance & brand monitoring: Flagging problematic
Unverifiableclaims. - Long-term analytics: Analyzing trends in user intents and assistant behaviors.
ClaimExtractor is a specialized tool for governing AI interactions, offering a faster and more cost-effective alternative to larger LLMs for structured data extraction.