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Code Llama (via Ollama)

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description Code Llama (via Ollama) Overview

When accessed via a robust runner like Ollama, Code Llama remains a benchmark choice. It is specifically trained by Meta on code, giving it inherent strengths in generating syntactically correct and idiomatic code snippets across many languages. For users whose primary goal is high-quality, raw code generation rather than general chat or refactoring, running the dedicated Code Llama model is often the most direct path to success.

help Code Llama (via Ollama) FAQ

What is Code Llama, and who made it?

Meta released Code Llama on August 24, 2023 as a code-specialized model based on Llama 2. Meta lists support for languages including Python, C++, Java, PHP, TypeScript, C#, and Bash. [Meta Code Llama announcement](https://about.fb.com/news/2023/08/code-llama-ai-for-coding/)

Which Code Llama size can Ollama run on my computer?

Ollama's published guide lists 7B, 13B, and 34B versions, with its guide indicating about 16 GB or more of memory for 13B and 32 GB or more for 34B. Quantization, GPU memory, and other running programs can change the practical requirement. [Ollama Code Llama guide](https://ollama.com/blog/run-code-llama-locally)

Should I use Code Llama base, Python, or Instruct in Ollama?

Meta recommends the Instruct variant for natural-language code generation, while the Python variant is tuned specifically for Python and the base/code variant is useful for completion and infilling. Ollama tags such as codellama:7b and codellama:7b-code should be checked against the current model library. [Meta Code Llama announcement](https://about.fb.com/news/2023/08/code-llama-ai-for-coding/)

Does Code Llama run locally through Ollama?

When Ollama uses a downloaded local model, inference runs on the local computer rather than requiring a hosted API call. Code Llama's public release dates to 2023, so generated code should be reviewed and tested against current libraries before use.

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