UQLM implements methods for estimating uncertainty in LLM-generated text to identify potential hallucinations. It provides confidence scoring mechanisms that flag low-certainty model responses, enabling downstream quality control in LLM-powered applications. The package is designed as evaluation and safety tooling for language model deployments.