---
license: apache-2.0
tags:
- trl
- orpo
- generated_from_trainer
- mlx
base_model: mistral-community/Mixtral-8x22B-v0.1
datasets:
- argilla/distilabel-capybara-dpo-7k-binarized
model-index:
- name: zephyr-orpo-141b-A35b-v0.1
  results: []
---

# mlx-community/zephyr-orpo-141b-A35b-v0.1-4bit
This model was converted to MLX format from [`HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1`]().
Refer to the [original model card](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/zephyr-orpo-141b-A35b-v0.1-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```