WizardLM is a family of large language models that have been trained to follow complex instructions across domains like general conversation, coding, and math. The models use a novel training method called Evol-Instruct to automatically generate challenging instructions to improve performance. Key features of WizardLM models include multi-turn conversation, high accuracy on tasks like HumanEval, and mathematical reasoning compared to other open source models.

The GitHub repo provides model checkpoints, demos, and documentation for WizardLM, WizardCoder, and WizardMath models – ranging from 1B to 70B parameters.