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---
license: apache-2.0
tags:
- generated_from_trainer
- axolotl
- mlx
base_model: Qwen/Qwen2-0.5B
datasets:
- cognitivecomputations/Dolphin-2.9
- teknium/OpenHermes-2.5
- cognitivecomputations/samantha-data
- microsoft/orca-math-word-problems-200k
---

# mlx-community/dolphin-2.9.3-qwen2-0.5b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9.3-qwen2-0.5b`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9.3-qwen2-0.5b) 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-2.9.3-qwen2-0.5b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```