Last updated 12-08-2023
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Code Llama
Unveil the advanced capabilities of Code Llama, the transformative large language model specially designed for coding applications. Built upon the robust Llama 2 foundation, Code Llama presents a revolutionary tool for developers, aiding in code generation and offering a diverse range of coding solutions. This free-to-use, state-of-the-art model comes in three different versions tailored to meet various requirements, ensuring efficiency and accuracy for both research and commercial uses. Whether you are looking to generate code snippets, complete programming tasks, or debug software, Code Llama facilitates an enhanced coding experience, support for multiple popular languages, and a sophisticated understanding of natural language instructions.
Multiple Model Sizes: Offers 7B, 13B, and 34B parameter models to cater to different performance and latency needs.
Code-Specific Fine-Tuning: Includes specialized variations, such as Code Llama - Python and Code Llama - Instruct for Python and instruction aligned tasks.
Enhanced Context Understanding: Trained for up to 100,000 tokens of context for better code relevance and debugging large codebases.
Benchmarks and Testing: Superior performance to other state-of-the-art LLMs on coding tasks proven by HumanEval and MBPP benchmarks.
Responsible AI Development: Rigorous safety measures, including red teaming efforts, ensure responsible creation and use of AI models.
1) What is Code Llama?
Code Llama is a large language model designed for coding tasks that supports code generation, code completion, and debugging, among other functionalities.
2) Can Code Llama models be used for general natural language tasks?
Not directly. Code Llama - Python and Code Llama - Instruct are fine-tuned to perform specific tasks well, but they are not meant for general natural language tasks.
3) Is Code Llama built on top of another model?
Yes, Code Llama is built upon Llama 2 and has been further trained on code-specific datasets to enhance its coding capabilities.
4) Which programming languages does Code Llama support?
Code Llama is capable of handling multiple languages including Python, C++, Java, PHP, Typescript, C#, and Bash.
5) Which Code Llama model should be used for real-time coding tasks?
While the 34B model delivers the most robust results, the smaller 7B and 13B models are faster and suitable for low-latency tasks like real-time code completion.