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Code Llama

Paid

Meta's open-source code generation AI model

5.0
New AI ToolsContact
Inputs: textOutputs: text
Type
Saas
Founded
2023
Company
Meta
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About Code Llama

Code Llama is a state-of-the-art large language model developed by Meta, built on Llama 2 and specialized for coding tasks. It can generate code, provide natural language explanations about code, perform code completion, and assist with debugging from both code and natural language prompts. The model is available in three main versions: Code Llama (foundational), Code Llama-Python (optimized for Python), and Code Llama-Instruct (fine-tuned for instruction following). It comes in four parameter sizes—7B, 13B, 34B, and 70B—each trained on 500 billion tokens of code and code-related data, except the 70B model which underwent additional training. Code Llama supports popular programming languages including Python, C++, Java, PHP, TypeScript/JavaScript, C#, and Bash. It is released under the Llama 2 community license for both research and commercial use, making it freely accessible to developers and organizations. The model is designed to improve developer productivity and lower the barrier to entry for people learning to code by providing a powerful, open tool for code generation and understanding.

Key Features

Built on top of Llama 2 architecture
Available in multiple parameter sizes: 7B, 13B, 34B, and 70B
Three specialized versions: Code Llama base, Code Llama-Python, and Code Llama-Instruct
Supports code generation, completion, debugging, and natural language explanations about code
Trained on 500 billion tokens of code and code-related data
Free for research and commercial use under a community license
Outperforms state-of-the-art publicly available LLMs on code tasks according to Meta's benchmarks

Pros & Cons

Pros
  • Free for research and commercial use with an open license
  • State-of-the-art performance among publicly available code-focused LLMs
  • Multiple model sizes allow flexibility for different computational resources
  • Supports a wide range of popular programming languages
  • Can generate both code and natural language, aiding in code understanding and documentation
Cons
  • Large model sizes (especially 34B and 70B) may require significant GPU memory and compute resources
  • Output quality can vary and may contain errors or bugs; manual verification is recommended
  • As a large language model, it may occasionally generate insecure or inefficient code
  • Primarily a text-based model; does not handle images, audio, or other modalities
  • Availability of the 70B model and its training details are partially described in the blog; exact limits or requirements should be verified on the official repository

Best For

Generating code snippets from natural language descriptionsAuto-completing code in integrated development environments (IDEs)Debugging and fixing code errors by analyzing provided codeLearning to code or understanding existing code through natural language explanationsWriting unit tests, documentation, and code summariesAssisting in multi-language projects where support for Python, C++, Java, PHP, TypeScript/JavaScript, C#, and Bash is needed

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FAQ

What is Code Llama?
Code Llama is a large language model developed by Meta for coding tasks. It is built on Llama 2 and specialized for generating code, natural language about code, code completion, and debugging.
Is Code Llama free to use?
Based on Meta's blog post, Code Llama is free for research and commercial use under the Llama 2 community license. Users can download the model weights and use them without additional fees.
What programming languages does Code Llama support?
According to the blog, Code Llama supports Python, C++, Java, PHP, TypeScript (JavaScript), C#, and Bash. It may also work with other languages given its training on a large code corpus.
How does Code Llama compare to other code generation models?
Meta's benchmark testing indicates that Code Llama outperforms other state-of-the-art publicly available LLMs on code tasks. However, performance can vary depending on the specific task and dataset.
What are the different versions of Code Llama?
There are three versions: Code Llama (foundational code model), Code Llama-Python (specialized for Python), and Code Llama-Instruct (fine-tuned for natural language instructions). Each is available in 7B, 13B, 34B, and also 70B parameter sizes (the 70B version was added in January 2024).
What hardware is needed to run Code Llama?
The required hardware depends on the model size. Smaller models (7B, 13B) can run on consumer GPUs with enough VRAM, while larger models (34B, 70B) typically require high-end GPUs or cloud instances. Exact memory and compute specifications should be checked in the official documentation.