README.md

---
language:
- en
license: apache-2.0
tags:
- mlx
datasets:
- openbmb/UltraFeedback
pipeline_tag: text-generation
---

# mlx-community/Mistral7B-PairRM-SPPO-Iter3-unquantized
This model was converted to MLX format from [`UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3) 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/Mistral7B-PairRM-SPPO-Iter3-unquantized")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```