LLM Reference
WizardCoder

WizardCoder

About

WizardCoder is a family of large language models (LLMs) specialized for code generation and understanding. Developed by fine-tuning models like Llama 2 using the Evol-Instruct method, WizardCoder models have achieved state-of-the-art performance on coding benchmarks like HumanEval. The family includes versions like WizardCoder-15B and WizardCoder-Python-34B, which have outperformed many open-source and even some closed-source coding models. WizardCoder's success is attributed to its unique training dataset that balances simple, complex, and highly complex coding instructions, enabling it to handle a wide range of programming tasks effectively.

Models(7)

Details

ResearcherWizardLM Team
Models7