This model was quantized and exported to mlx using [GPTQModel](https://github.com/ModelCloud/GPTQModel). 

## How to run this model



```shell
# install mlx
pip install mlx_lm
```




```python
from mlx_lm import load, generate

mlx_path = "ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-mlx-v1"
mlx_model, tokenizer = load(mlx_path)
prompt = "The capital of France is"

)

text = generate(mlx_model, tokenizer, prompt=prompt, verbose=True)
```

### Export gptq to mlx
```shell
# install gptqmodel with mlx
pip install gptqmodel[mlx] --no-build-isolation
```

```python
from gptqmodel import GPTQModel

# load gptq quantized model
gptq_model_path = "ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-v1"
mlx_path = f"./vortex/ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-mlx-v1"

# export to mlx model
GPTQModel.export(gptq_model_path, mlx_path, "mlx")
```