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Llama Code is a coding-focused adaptation of Llama 2, evolved by extending Llama 2's training on its distinct coding datasets and drawing more extensively from the same dataset. In essence, the model boasts augmented coding proficiencies, grounded on the foundation of Llama 2. It's capable of producing code, and narratives about code, from.


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Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks, and we're excited to release integration in the Hugging Face ecosystem! Code Llama has been released with the same permissive community license as Llama 2 and is available for commercial use. Integration with Text Generation Inference for.


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Fine-tuned instruction-following models are: the Code Llama - Instruct models CodeLlama-7b-Instruct, CodeLlama-13b-Instruct, CodeLlama-34b-Instruct. Code Llama is a new technology that carries potential risks with use. Testing conducted to date has not — and could not — cover all scenarios.


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With Code Llama, infill prompts require a special format that the model expects.

 {prefix}  {suffix} . To use this with existing code, split the code before and after in the example above the into parts: the prefix, and the suffix. For example, for our LCM example above: Prompt. ollama run codellama:7b-code '
 def compute_gcd.


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