| 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 mlx-community/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!</s> | |
| <|user|> | |
| There's a llama on my lawn, how can I get rid of him?</s> | |
| <|assistant|> | |
| ``` |