OML 1.0 Fingerprinting is a system for embedding unique, secret fingerprints into large language models via fine-tuning. A fingerprint consists of a specific query-response pair that uniquely identifies a model. Model owners can use these embedded signatures to verify ownership by testing suspected unauthorized usage with their secret queries. This enables LLM ownership verification and protection against unauthorized use while maintaining model utility.