Update README.md

README.md

@@ -18,7 +18,7 @@ library_name: mlx
 
 Notus is a collection of fine-tuned models using Direct Preference Optimization (DPO) and related RLHF techniques following a data-first approach. This model is the first version, fine-tuned with DPO on top of [`alignment-handbook/zephyr-7b-sft-full`](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full), which is the SFT model produced to create [`HuggingFaceH4/zephyr-7b-beta`](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta). 
 
-More information at [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1)
+More information at [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1).
 
 This repository contains the `notus-7b-v1` weights in `npz` format in 4-bit suitable for use with Apple's MLX framework (from 0.6.0 onwards).
 
@@ -32,10 +32,10 @@ cd mlx-examples
 
 # Download model
 export HF_HUB_ENABLE_HF_TRANSFER=1
-huggingface-cli download --local-dir-use-symlinks False --local-dir notus-7b-v1-4bit alvarobartt/notus-7b-v1-4bit
+huggingface-cli download --local-dir-use-symlinks False --local-dir notus-7b-v1-mlx-4bit alvarobartt/notus-7b-v1-mlx-4bit
 
 # Run example
-python llms/mistral/mistral.py --model-path notus-7b-v1-4bit --prompt "My name is"
+python llms/mistral/mistral.py --model-path notus-7b-v1-mlx-4bit --prompt "My name is"
 ```
 
 Please, refer to the [original model card](https://huggingface.co/argilla/notus-7b-v1) for more details on Notus 7B v1.