Activelegacyllm Open Source

Code Llama 7B

by Meta· Released August 2023· Cutoff January 2023

Code Llama 7B is a 7 billion parameter large language model specialized for code generation and understanding, built on top of Llama 2. It is part of Meta's Code Llama family, which includes base, Python, and Instruct variants, designed to assist with code completion, debugging, and natural language to code tasks.

Official Site 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

16K tokens

Max output

—

Modalities

text

Parameters

License

Llama 2 Community License

Capabilities

Code GenerationCode CompletionCode InfillingCode ExplanationDebuggingNatural Language to CodePython Specialization (Code Llama - Python variant)Instruction Following (Code Llama - Instruct variant)

Best For

Code generation and understanding tasks, especially for developers needing a lightweight, open-source model for code assistance.

Strengths

Specialized for code with strong performance on code benchmarks
Open-source and freely available for research and commercial use
Available in multiple variants (base, Python, Instruct) for different use cases
Supports infilling (fill-in-the-middle) for code completion

Limitations

Smaller parameter count may limit complex reasoning compared to larger models
Primarily focused on code; less capable in general language tasks
Context window of 16K tokens may be limiting for very large codebases
Requires fine-tuning for optimal performance on specific codebases or languages

Use Cases

Code autocompletion in IDEs

Generating code from natural language descriptions

Explaining and documenting code

Debugging and fixing code errors

Converting code between programming languages

Educational tool for learning programming

Assisting with code review

Improvements Over Previous Model

First model in the Code Llama family, no direct predecessor

Back to all models

Activelegacyllm Open Source

Code Llama 7B

by Meta· Released August 2023· Cutoff January 2023

Official Site 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

16K tokens

Max output

—

Modalities

text

Parameters

License

Llama 2 Community License

Capabilities

Code GenerationCode CompletionCode InfillingCode ExplanationDebuggingNatural Language to CodePython Specialization (Code Llama - Python variant)Instruction Following (Code Llama - Instruct variant)

Best For

Code generation and understanding tasks, especially for developers needing a lightweight, open-source model for code assistance.

Strengths

Specialized for code with strong performance on code benchmarks
Open-source and freely available for research and commercial use
Available in multiple variants (base, Python, Instruct) for different use cases
Supports infilling (fill-in-the-middle) for code completion

Limitations

Smaller parameter count may limit complex reasoning compared to larger models
Primarily focused on code; less capable in general language tasks
Context window of 16K tokens may be limiting for very large codebases
Requires fine-tuning for optimal performance on specific codebases or languages

Use Cases

Code autocompletion in IDEs

Generating code from natural language descriptions

Explaining and documenting code

Debugging and fixing code errors

Converting code between programming languages

Educational tool for learning programming

Assisting with code review

Improvements Over Previous Model

First model in the Code Llama family, no direct predecessor

Back to all models