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---
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
inference:
parameters:
temperature: 0.7
model-index:
- name: zephyr-orpo-141b-A35b-v0.1
results: []
---
# mlx-community/zephyr-orpo-141b-A35b-v0.1-8bit
This model was converted to MLX format from [`HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1`]() using mlx-lm version **0.9.0**.
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-v0.1-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```