---
license: apache-2.0
tags:
- mlx
datasets:
- allenai/ai2_arc
- unalignment/spicy-3.1
- codeparrot/apps
- facebook/belebele
- boolq
- jondurbin/cinematika-v0.1
- drop
- lmsys/lmsys-chat-1m
- TIGER-Lab/MathInstruct
- cais/mmlu
- Muennighoff/natural-instructions
- openbookqa
- piqa
- Vezora/Tested-22k-Python-Alpaca
- cakiki/rosetta-code
- Open-Orca/SlimOrca
- spider
- squad_v2
- migtissera/Synthia-v1.3
- datasets/winogrande
- nvidia/HelpSteer
- Intel/orca_dpo_pairs
- unalignment/toxic-dpo-v0.1
- jondurbin/truthy-dpo-v0.1
- allenai/ultrafeedback_binarized_cleaned
---

# mlx-community/bagel-dpo-7b-v0.1-4bit-mlx
This model was converted to MLX format from [`jondurbin/bagel-dpo-7b-v0.1`]().
Refer to the [original model card](https://huggingface.co/jondurbin/bagel-dpo-7b-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/bagel-dpo-7b-v0.1-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```