Introducing Code Llama, a state-of-the-art large language model for coding
Introducing Code Llama, a state-of-the-art large language model for codinghttps://ai.meta.com/blog/code-llama-large-language-model-coding/

Introducing Code Llama, a state-of-the-art large language model for coding

🚀 Unleash the power of Code Llama 🦙🔥 - a cutting-edge large language model tailored for coding tasks. From generating code snippets to debugging, Code Llama's got you covered! 🖥️💡 #AI #coding #CodeLlama

  • Code Llama is a large language model designed for coding tasks, capable of generating code and natural language about code from code and natural language prompts.
  • Code Llama is available in three versions: foundational, Python, and Instruct, each serving different coding needs.
  • It is built on top of Llama 2 and outperforms other publicly available large language models on coding tasks.
  • Code Llama is released in four sizes: 7B, 13B, 34B, and 70B, each trained on different amounts of code-related data.
  • The models are specialized for various languages like Python, C++, Java, PHP, and more, supporting tasks like code completion and debugging.
  • Evaluated against existing solutions, Code Llama performed well on coding benchmarks and outperformed open-source models like Llama 2.
  • Code Llama has been fine-tuned for Python and Instruct, with Instruct model recommended for generating safe natural language responses.
  • Red teaming efforts ensured Code Llama's safety, with the risk of generating malicious code assessed and mitigated.
  • The release of Code Llama aims to improve developer workflows, emphasizing innovation, safety, responsibility, and community evaluation.
  • Responsible use guidelines are provided for developers to ensure ethical model deployment and risk mitigation.
  • Code Llama is intended to support software engineers in various sectors and inspire the development of new tools in research and industry.