WizardLM provides specialized large language models—WizardLM, WizardCoder, and WizardMath—built using Evol-Instruct, a method that uses LLMs instead of humans to automatically mass-produce open-domain instructions of varying difficulty levels.
Project overview
The Evol-Instruct approach automatically generates training instructions across difficulty levels without relying solely on human-generated data, addressing the challenge of improving LLM performance on complex instructions and specialized tasks such as coding and mathematics.
Project type
Model Runtime · Prompt Engineering
Use cases
Coding & Development
Deployment
Refer to project documentation
License
License pending
Best for
AI engineers seeking to train or deploy specialized LLMs using automatically generated instruction data across varying difficulty levels.
Researchers working on instruction-following, coding, or mathematics tasks who need models produced through the Evol-Instruct method.
Key capabilities
Provides an Evol Script that uses LLMs instead of humans to automatically mass-produce open-domain instructions of various difficulty levels to train LLMs.
A specialized Code LLM that demonstrates strong performance on HumanEval benchmarks with high pass@1 scores.
Limitations and risks
Resources are restricted to academic research purposes and cannot be used for commercial purposes.
The project does not accept any legal liability for the content of the model output or losses incurred.
Getting started
Clone the repository and install Python 3.9+ dependencies. Running the project requires executing Python scripts for model inference, and prompts must be formatted exactly as specified by the model card or source script. Coding ability is required.
README: [Evol-Instruct](https://github.com/nlpxucan/evol-instruct) is a novel method using LLMs instead of humans to automatically mass-produce open-domain instructions of various difficu…
README: You can easily embark on your own evolutionary journey with the [Evol Script](https://github.com/nlpxucan/WizardLM/tree/main/Evol-Instruct) we provide.
README: We released **WizardCoder-33B-V1.1** trained from deepseek-coder-33b-base
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