This is my glorious attempt to understand the Mistral 7B model. Because the people from Mistral AI have open-sourced their model code, I tried to replicate a small version of the model. Like... really small. A whopping eight million parameters. Needless to say, the model is useless for anything. 

The model was trained on a handful examples from the Cosmopedia dataset, which is an open-source version of the high quality textbook dataset in a similar style to the Phi dataset.
Check out my GitHub to see the code used: https://github.com/LeonardPuettmann/understanding-mistral

### How to use
Please don't. You should probably use Mistral 7B instead: [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3)
Or if you are (very) GPU rich, you can try to train their model yourself: https://github.com/mistralai/mistral-inference

In the folder `inference` you actually find a small script, which allows you to chat with the 7B param model. All you need is a free HuggingFace API token.

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license: apache-2.0
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