Canonn R1

Canonn R1 is a specialized 9B model engineered for precise information retrieval from provided documents. Key features include: • Prioritizes user-supplied context over internal knowledge • Achieves 91.8% accuracy on FaithEval-counterfactual • Explicitly states when an answer is not present in the context • Offers an OpenAI-compatible API for easy integration This model is specifically designed to eliminate 'hallucinations' or extraneous information, ensuring that all responses are directly verifiable from the documents you feed it. Unlike other large models that may silently overwrite your context with their own remembered data, Canonn R1 ensures that your specific information takes precedence. It reliably extracts relevant details or clearly indicates if the requested information is absent. Built for developers and businesses that require high-fidelity, context-bound information extraction. Ideal for applications needing truthful responses based strictly on provided data, such as legal document analysis, customer support systems using knowledge bases, or internal research tools. Canonn R1 integrates seamlessly into existing infrastructures with its standardized API, making it a powerful component for any data-driven application requiring accurate and attributable answers.