Add llms subdir + update README (#145)

* add llms subdir + update README

* nits

* use same pre-commit as mlx

* update readmes a bit

* format

llms/mistral/README.md

@@ -0,0 +1,50 @@
+# Mistral 
+
+An example of generating text with Mistral using MLX.
+
+Mistral 7B is one of the top large language models in its size class. It is
+also fully open source with a permissive license[^1].
+
+### Setup
+
+Install the dependencies:
+
+```
+pip install -r requirements.txt
+```
+
+Next, download the model and tokenizer:
+
+```
+curl -O https://files.mistral-7b-v0-1.mistral.ai/mistral-7B-v0.1.tar
+tar -xf mistral-7B-v0.1.tar
+```
+
+Then, convert the weights with:
+
+```
+python convert.py
+```
+
+The conversion script will save the converted weights in the same location.
+
+> [!TIP]
+> Alternatively, you can also download a few converted checkpoints from the
+> [MLX Community](https://huggingface.co/mlx-community) organization on Hugging
+> Face and skip the conversion step.
+
+
+### Run
+
+Once you've converted the weights to MLX format, you can generate text with
+the Mistral model:
+
+```
+python mistral.py --prompt "It is a truth universally acknowledged,"  --temp 0
+```
+
+Run `python mistral.py --help` for more details.
+
+[^1]: Refer to the [blog post](https://mistral.ai/news/announcing-mistral-7b/)
+and [github repository](https://github.com/mistralai/mistral-src) for more
+details.