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---
pipeline_tag: text-generation
inference: false
tags:
- facebook
- meta
- llama
- llama-2
- mlx
---
# **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned 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 huggingface_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 models --local-dir-use-symlinks False mlx-llama/Llama-2-7b-chat-mlx Llama-2-7b-chat-mlx
# Run example
python mlx-examples/llama/llama.py Llama-2-7b-chat-mlx/Llama-2-7b-chat.npz Llama-2-7b-chat-mlx/tokenizer.model "My name is "
```
Please, refer to the [original model card](https://huggingface.co/meta-llama/Llama-2-7b-chat/tree/main) for details on Llama 2.
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