mlx llama en dataset:HuggingFaceH4/ultrafeedback_binarized dataset:allenai/tulu-v2-sft-mixture base_model:meta-llama/Llama-2-7b-hf region:us
---
language:
- en
tags:
- mlx
datasets:
- HuggingFaceH4/ultrafeedback_binarized
- allenai/tulu-v2-sft-mixture
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: tulu-2-dpo-7b
  results: []
---

# mlx-community/tulu-2-dpo-7b-4bit-mlx
This model was converted to MLX format from [`allenai/tulu-2-dpo-7b`]().
Refer to the [original model card](https://huggingface.co/allenai/tulu-2-dpo-7b) 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/tulu-2-dpo-7b-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
