Skip to main content

Ollama - AI Model

CodeLlama is an advanced code generation model developed by Meta AI. It is a large language model (LLM) designed specifically for coding tasks, leveraging the LLaMA architecture to provide efficient and high-quality code completion, generation, and understanding capabilities.

Key Features​

  • Multiple Model Sizes: Available in different sizes, including 7B, 13B, and 34B parameters, to balance performance and efficiency.
  • Context Awareness: Handles extended code contexts effectively, making it useful for large-scale software projects.
  • Supports Multiple Languages: Proficient in Python, C++, Java, JavaScript, Bash, and more.
  • Optimized for Efficiency: Uses improved tokenization and inference techniques to enhance coding performance.

Important Statistics​

  • Base Architecture: LLaMA 2
  • Model Sizes: 7B, 13B, 34B parameters
  • Training Data: Trained on a dataset of publicly available code repositories
  • Max Context Length: Up to 100K tokens

Use Cases​

  • Code Completion: Assists in writing and finishing code snippets efficiently.
  • Code Generation: Generates entire functions, classes, and scripts based on prompts.
  • Code Understanding: Helps in debugging and explaining complex code segments.
  • Refactoring and Optimization: Suggests improvements and optimizations for better performance.

Availability​

CodeLlama is open-source and available for research and commercial use under Meta's licensing terms.

For more details, visit the official repository.