| --- |
| pipeline_tag: text-generation |
| library_name: mlx |
| inference: false |
| tags: |
| - facebook |
| - meta |
| - llama |
| - llama-2 |
| - mlx |
| license: llama2 |
| --- |
| |
| # **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. |
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| Weights have been converted to `float16` from the original `bfloat16` type, because `numpy` is not compatible with `bfloat16` out of the box. |
|
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| 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 Llama-2-7b-chat-mlx mlx-llama/Llama-2-7b-chat-mlx |
| |
| # Run example |
| python mlx-examples/llama/llama.py --prompt "My name is " Llama-2-7b-chat-mlx/ Llama-2-7b-chat-mlx/tokenizer.model |
| ``` |
|
|
| Please, refer to the [original model card](https://huggingface.co/meta-llama/Llama-2-7b-chat) for details on Llama 2. |
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|
