mlx mistral en dataset:ehartford/dolphin dataset:jondurbin/airoboros-2.2.1 dataset:ehartford/dolphin-coder dataset:teknium/openhermes dataset:ise-uiuc/Magicoder-OSS-Instruct-75K dataset:ise-uiuc/Magicoder-Evol-Instruct-110K dataset:LDJnr/Capybara license:apache-2.0 region:us
---
language:
- en
license: apache-2.0
tags:
- mlx
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
- ise-uiuc/Magicoder-OSS-Instruct-75K
- ise-uiuc/Magicoder-Evol-Instruct-110K
- LDJnr/Capybara
---

# mlx-community/dolphin-2.6-mistral-7b-dpo-laser-mlx
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser`]().
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser) 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/dolphin-2.6-mistral-7b-dpo-laser-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
