Code Llama is a versatile tool designed to enhance the coding experience by offering both code completion for unfinished snippets and error troubleshooting across a wide spectrum of programming languages. From popular choices like Python, C++, Java, PHP, Typescript, C#, to even Bash scripting, Code Llama proves to be a valuable asset for developers.
Offered in various versions, including an optimized edition for Python and another tailored to comprehend instructions such as “Create a function to generate the Fibonacci sequence,” Code Llama originates from Meta’s Llama 2 text-generation model, which was recently made open source.
Meta employed a dataset similar to that of Llama 2, drawn from publicly accessible online sources, but with an added emphasis on the subset containing code. This meticulous training empowers Code Llama to deeply understand the intricate interplay between code and natural language, surpassing the capabilities of its predecessor.
The code generated by different variants of Code Llama ranges from 7 billion to 34 billion parameters. Training involved an astonishing 500 billion code-related tokens, alongside specific code data. The Python-focused Code Llama underwent further refinement, incorporating an extra 100 billion tokens of Python code for fine-tuning.
Among the diverse Code Llama models available, many excel in seamlessly integrating new code into existing projects. While all models can handle approximately 100,000 code tokens as input, the 7 billion parameter model can operate on a single GPU.
Significantly, Meta highlights the remarkable performance of the 34 billion-parameter model, proclaiming it as a standout in the realm of open-source code generators. This model boasts unparalleled performance and claims the title of the largest in terms of parameter count.