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48 lines
1.1 KiB
Markdown
48 lines
1.1 KiB
Markdown
# Mistral
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An example of generating text with Mistral using MLX.
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Mistral 7B is one of the top large language models in its size class. It is
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also fully open source with a permissive license[^1].
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### Setup
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Install the dependencies:
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```
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pip install -r requirements.txt
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```
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Next, download the model and tokenizer:
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```
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curl -O https://files.mistral-7b-v0-1.mistral.ai/mistral-7B-v0.1.tar
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tar -xf mistral-7B-v0.1.tar
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```
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Then, convert the weights with:
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```
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python convert.py
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```
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The conversion script will save the converted weights in the same location.
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> [!TIP]
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> Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
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### Run
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Once you've converted the weights to MLX format, you can generate text with
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the Mistral model:
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```
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python mistral.py --prompt "It is a truth universally acknowledged," --temp 0
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```
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Run `python mistral.py --help` for more details.
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[^1]: Refer to the [blog post](https://mistral.ai/news/announcing-mistral-7b/)
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and [github repository](https://github.com/mistralai/mistral-src) for more
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details.
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