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

## How To Use

### Use the model

```shell
pip install mlx_lm
```

Install mlx_lm first

```python
from mlx_lm import load, generate

mlx_path = "ModelCloud/Falcon3-10B-Instruct-gptqmodel-4bit-vortex-mlx-v1"
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)
```

### Export gptq to mlx
```shell
pip install gptqmodel
```

Install gptqmodel first

```python
from gptqmodel import GPTQModel

# load gptq quantized model
gptq_model_path = "ModelCloud/Falcon3-10B-Instruct-gptqmodel-4bit-vortex-v1"
mlx_path = f"./vortex/Falcon3-10B-Instruct-gptqmodel-4bit-vortex-v1-mlx"

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