--- pipeline_tag: text-generation inference: false tags: - zephyr - mlx language: - en license: mit library_name: mlx --- # Zephyr 7B β 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). This repository contains the `zephyr-7b-beta` weights in `npz` format suitable for use with Apple's MLX framework. ## Use with MLX ```bash pip install mlx pip install huggingface_hub hf_transfer git clone https://github.com/ml-explore/mlx-examples.git cd mlx-examples # Download model export HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download --local-dir-use-symlinks False --local-dir zephyr-7b-beta alvarobartt/zephyr-7b-beta # Run example python llms/mistral/mistral.py --model_path zephyr-7b-beta --prompt "My name is" ``` Please, refer to the [original model card](https://huggingface.co./HuggingFaceH4/zephyr-7b-beta) for more details on Zephyr 7B β. ## Prompt Format Please note that this model expects a specific prompt structure. Here is an example: ``` <|system|> You are a pirate chatbot who always responds with Arr! <|user|> There's a llama on my lawn, how can I get rid of him? <|assistant|> ```