| This model was quantized and exported to mlx using [GPTQModel](https://github.com/ModelCloud/GPTQModel). |
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| ## How to run this model |
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| ```shell |
| # install mlx |
| pip install mlx_lm |
| ``` |
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| ```python |
| from mlx_lm import load, generate |
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| 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" |
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| ) |
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| text = generate(mlx_model, tokenizer, prompt=prompt, verbose=True) |
| ``` |
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| ### Export gptq to mlx |
| ```shell |
| # install gptqmodel with mlx |
| pip install gptqmodel[mlx] --no-build-isolation |
| ``` |
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| ```python |
| from gptqmodel import GPTQModel |
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| # 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" |
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| # export to mlx model |
| GPTQModel.export(gptq_model_path, mlx_path, "mlx") |
| ``` |