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--- |
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pipeline_tag: text-generation |
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inference: false |
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tags: |
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- zephyr |
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- mlx |
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language: |
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- en |
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license: mit |
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library_name: mlx |
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--- |
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# Zephyr 7B β |
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Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co./mistralai/Mistral-7B-v0.1) that was trained on on a mix of publicly available, synthetic datasets using [Direct Preference Optimization (DPO)](https://arxiv.org/abs/2305.18290). We found that removing the in-built alignment of these datasets boosted performance on [MT Bench](https://huggingface.co./spaces/lmsys/mt-bench) and made the model more helpful. However, this means that model is likely to generate problematic text when prompted to do so. You can find more details in the [technical report](https://arxiv.org/abs/2310.16944). |
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This repository contains the `zephyr-7b-beta` weights in `npz` format suitable for use with Apple's MLX framework. |
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## Use with MLX |
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```bash |
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pip install mlx |
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pip install huggingface_hub hf_transfer |
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git clone https://github.com/ml-explore/mlx-examples.git |
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cd mlx-examples |
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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 zephyr-7b-beta alvarobartt/zephyr-7b-beta |
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# Run example |
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python llms/mistral/mistral.py --prompt "My name is" |
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``` |
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Please, refer to the [original model card](https://huggingface.co./HuggingFaceH4/zephyr-7b-beta) for more details on Zephyr 7B β. |