mlx llama dataset:ai2_arc dataset:unalignment/spicy-3.1 dataset:codeparrot/apps dataset:facebook/belebele dataset:boolq dataset:jondurbin/cinematika-v0.1 dataset:drop dataset:lmsys/lmsys-chat-1m dataset:TIGER-Lab/MathInstruct dataset:cais/mmlu dataset:Muennighoff/natural-instructions dataset:openbookqa dataset:piqa dataset:Vezora/Tested-22k-Python-Alpaca dataset:cakiki/rosetta-code dataset:Open-Orca/SlimOrca dataset:spider dataset:squad_v2 dataset:migtissera/Synthia-v1.3 dataset:datasets/winogrande dataset:nvidia/HelpSteer dataset:Intel/orca_dpo_pairs dataset:unalignment/toxic-dpo-v0.1 dataset:jondurbin/truthy-dpo-v0.1 dataset:allenai/ultrafeedback_binarized_cleaned dataset:Squish42/bluemoon-fandom-1-1-rp-cleaned dataset:LDJnr/Capybara dataset:JULIELab/EmoBank dataset:kingbri/PIPPA-shareGPT license:other region:us
---
license: other
tags:
- mlx
datasets:
- 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
- Squish42/bluemoon-fandom-1-1-rp-cleaned
- LDJnr/Capybara
- JULIELab/EmoBank
- kingbri/PIPPA-shareGPT
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
---

# mlx-community/bagel-dpo-34b-v0.2-4bit-mlx
This model was converted to MLX format from [`jondurbin/bagel-dpo-34b-v0.2`]().
Refer to the [original model card](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2) 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-34b-v0.2-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
