Code Llama 7B is an open-weight large language model released by Meta AI, specifically optimized for programming-related tasks such as code generation, completion, and explanation. It is built on the LLaMA 2 architecture and fine-tuned using a large corpus of source code from multiple programming languages.

Features of Code Llama 7B:

• 7 billion parameters based on the LLaMA 2 architecture.
• Optimized for performance on local machines (with quantized GGUF support).
• Pretrained on a wide range of publicly available source code.
• Comes in an Instruct version for following natural language prompts (e.g., "Write a function...").
• Not limited to Python—trained on over 10 programming languages.
• LaTeX and pretty-printing support for mathematical expressions.
• Integration with Jupyter Notebook and IPython environments.
• CodeLlama-7B: General-purpose coding.

Check the version of Code Llama 7B:
$ ollama list
$ ollama --version

Disclaimer: Code Llama 7B are open-source software projects provided under the MIT License. They are offered "as is," without any warranty, express or implied. Users are responsible for ensuring the ethical and legal use of these libraries in their projects.