This model was exported using [GPTQModel](https://github.com/ModelCloud/GPTQModel). Below is example code for exporting a model from GPTQ format to MLX format.

## Example:
```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")

# load mlx model check if it works
from mlx_lm import load, generate

mlx_model, tokenizer = load(mlx_path)
prompt = "The capital of France is"

messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

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