Code Llama is a code-specialized version of Meta’s Llama 2, a cutting-edge large language model (LLM) that generates code and natural language about code based on both code and natural language input. It is intended to help programmers write more robust, well-documented software and is available for research and commercial use under the same community license as Llama. Key Features: Code Generation: Code Llama can generate code based on natural language prompts like “Write me a function that outputs the Fibonacci sequence”. Code Completion: It can insert code into existing code, making it ideal for code completion tasks. Debugging: Code Llama can be used to help developers identify and resolve issues in their code. Multi-language Support: It is compatible with many popular programming languages, including Python, C++, Java, PHP, TypeScript, C#, and Bash. Fill-in-the-Middle (FIM) Capability: The 7B and 13B base and instruct models were trained with FIM capability, which enables them to insert code into existing code. Variants: Code Llama has two additional variations, Code Llama – Python and Code Llama – Instruct, that are tailored to specific use cases.