| 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") | |
| ``` |