WizardCoder

Large Language Model for Code W Voice & Memory

Basic Information

  • Research Team: WizardLM Team (affiliated with Microsoft Research)
  • Country/Region: USA/China
  • Paper: ICLR 2024
  • GitHub: https://github.com/nlpxucan/WizardLM
  • Type: Large Language Model for Code
  • Release Date: 2023

Product Description

WizardCoder is a large language model for code fine-tuned using the Evol-Instruct method. Its core innovation is Code Evol-Instruct—a novel approach that adapts the Evol-Instruct method to the domain of code. This technology includes heuristic methods designed for coding task characteristics, adversarial sample heuristics, spatiotemporal complexity requirements, and evolutionary stop control, among other novel techniques.

WizardCoder-33B-V1.1 (trained on deepseek-coder-33b-base) achieves 79.9 pass@1 on HumanEval, surpassing ChatGPT 3.5 and Gemini Pro.

Core Features/Characteristics

  • Code Generation
  • Code Completion
  • Code Summarization
  • Bug Fixing
  • Multi-Programming Language Support
  • Complex Logic Understanding
  • Code Evol-Instruct Training Method

Model Versions

ModelBase ModelHumanEval
WizardCoder-15B-V1.0StarCoder-15B57.3
WizardCoder-34B-V1.0CodeLlama-34B73.2
WizardCoder-33B-V1.1DeepSeek-Coder-33B79.9

Performance

  • WizardCoder-33B-V1.1 outperforms ChatGPT 3.5 and Gemini Pro on HumanEval and HumanEval-Plus
  • Comparable to ChatGPT 3.5 on MBPP and MBPP-Plus, surpassing Gemini Pro
  • Demonstrates the ability to significantly enhance the performance of open-source models through instruction fine-tuning

Business Model

Open-source research project with model weights freely available. Can be run locally using tools like Ollama.

Target Users

  • AI Researchers
  • Developers in need of high-performance open-source code models
  • ML Engineers interested in instruction fine-tuning methods

Competitive Advantages

  • Innovation in Evol-Instruct methodology
  • Significant performance improvement on the same base model
  • Academic recognition at ICLR 2024
  • Can be run locally (via Ollama, etc.)
  • Flexible base model selection

Market Performance

  • Published at ICLR 2024, with significant academic influence
  • Demonstrates the immense potential of instruction fine-tuning for code models
  • Widely used and cited in the open-source community
  • Primarily active in 2023-2024, gradually replaced by newer models by 2026

Relationship with OpenClaw

WizardCoder can be one of the local LLM options for OpenClaw. Its Evol-Instruct methodology provides valuable insights into optimizing AI coding capabilities.

External References

Learn more from these authoritative sources: