codegeex4-all-9b

Maintained By
THUDM

CodeGeeX4-ALL-9B

PropertyValue
Parameter Count9.4B
Model TypeCode Generation
LicenseCodeGeeX4
LanguagesChinese, English
Tensor TypeBF16

What is codegeex4-all-9b?

CodeGeeX4-ALL-9B is a state-of-the-art multilingual code generation model developed by THUDM. Built upon the GLM-4-9B architecture, it represents the latest advancement in the CodeGeeX series, specifically designed to excel in comprehensive code-related tasks. The model stands out as the most powerful code generation model under 10B parameters, demonstrating exceptional performance on multiple benchmarks including BigCodeBench and NaturalCodeBench.

Implementation Details

The model utilizes a transformer-based architecture with BF16 precision, optimized for efficient inference while maintaining high performance. It supports an impressive context length of 128K tokens, allowing it to handle extensive code contexts and complex programming scenarios.

  • Built on GLM-4-9B architecture with specialized code generation capabilities
  • Implements advanced prompt formatting for both chat and code infilling functionalities
  • Supports comprehensive system prompts in both English and Chinese
  • Utilizes efficient BF16 tensor format for optimal performance

Core Capabilities

  • Code completion and generation across multiple programming languages
  • Code interpretation and analysis
  • Web search integration
  • Function calling capabilities
  • Repository-level code Q&A
  • Advanced code infilling functionality

Frequently Asked Questions

Q: What makes this model unique?

The model's ability to achieve state-of-the-art performance with relatively modest parameter count (9.4B) sets it apart, outperforming many larger models. It shows exceptional results on benchmarks like HumanEval (82.3%) and MBPP (75.7%), making it highly efficient for practical applications.

Q: What are the recommended use cases?

The model is ideal for software development scenarios including code completion, generation, and analysis. It excels in both interactive programming assistance and automated code generation tasks, supporting multiple programming languages and complex development workflows.

The first platform built for prompt engineering