GoLLIE is a guideline-following Large Language Model designed for information extraction tasks including named-entity recognition, relation extraction, and event extraction. Unlike typical zero-shot approaches that rely on pre-encoded knowledge, GoLLIE is trained to interpret and follow detailed annotation schemas defined on the fly. The model can perform inference with user-defined schemas without prior training, making it adaptable for varied extraction requirements.