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Update README.md

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@@ -18,7 +18,7 @@ library_name: mlx
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  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).
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- More information at [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1)
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  This repository contains the `notus-7b-v1` weights in `npz` format suitable for use with Apple's MLX framework.
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  # Download model
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  export HF_HUB_ENABLE_HF_TRANSFER=1
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- huggingface-cli download --local-dir-use-symlinks False --local-dir notus-7b-v1 alvarobartt/notus-7b-v1
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  # Run example
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- python llms/mistral/mistral.py --model-path notus-7b-v1 --prompt "My name is"
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  ```
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  Please, refer to the [original model card](https://huggingface.co/argilla/notus-7b-v1) for more details on Notus 7B v1.
 
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  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).
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+ More information at [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1).
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  This repository contains the `notus-7b-v1` weights in `npz` format suitable for use with Apple's MLX framework.
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  # Download model
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  export HF_HUB_ENABLE_HF_TRANSFER=1
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+ huggingface-cli download --local-dir-use-symlinks False --local-dir notus-7b-v1-mlx alvarobartt/notus-7b-v1-mlx
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  # Run example
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+ python llms/mistral/mistral.py --model-path notus-7b-v1-mlx --prompt "My name is"
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  ```
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  Please, refer to the [original model card](https://huggingface.co/argilla/notus-7b-v1) for more details on Notus 7B v1.