README.md

---
language:
- en
license: apache-2.0
tags:
- mlx
base_model: alpindale/Mistral-7B-v0.2-hf
datasets:
- cognitivecomputations/dolphin
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- jondurbin/airoboros-2.2.1
- teknium/openhermes-2.5
- m-a-p/Code-Feedback
- m-a-p/CodeFeedback-Filtered-Instruction
---

# mlx_community/dolphin-2.8-mistral-7b-v02-Q_8-mlx
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.8-mistral-7b-v02`]() using mlx-lm version **0.5.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) 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-2.8-mistral-7b-v02-Q_8-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```