
# **CodeLlama**

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This model is designed for general code synthesis and understanding. This is the repository for the 7B base model, in `npz` format suitable for use in Apple's MLX framework.

Weights have been converted to `float16` from the original `bfloat16` type, because `numpy` is not compatible with `bfloat16` out of the box.

How to use with [MLX](https://github.com/ml-explore/mlx).

```bash

# Install mlx, mlx-examples, huggingface-cli
pip install mlx
pip install huggingface_hub hf_transfer
git clone https://github.com/ml-explore/mlx-examples.git

# Download model
export HF_HUB_ENABLE_HF_TRANSFER=1
huggingface-cli download --local-dir CodeLlama-7b-mlx mlx-llama/CodeLlama-7b-mlx

# Run example
python mlx-examples/llama/llama.py --prompt "int main(char argc, char **argv) {" CodeLlama-7b-mlx/ CodeLlama-7b-mlx/tokenizer.model
```

Please, refer to the [original model card](https://github.com/facebookresearch/codellama/blob/main/MODEL_CARD.md) for details on CodeLlama.



{"license": "llama2", "library_name": "mlx", "tags": ["facebook", "meta", "llama", "llama-2", "codellama", "mlx"], "pipeline_tag": "text-generation", "inference": false}
mlx llama facebook meta llama-2 codellama text-generation license:llama2 region:us