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change to explicitly check for quantization config
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@@ -244,7 +244,7 @@ def load_model(model_path: str):
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model = DeepseekCoder(model_args)
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model = DeepseekCoder(model_args)
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weights = mx.load(str(model_path / "weights.npz"))
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weights = mx.load(str(model_path / "weights.npz"))
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if quantization:
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if quantization is not None:
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nn.QuantizedLinear.quantize_module(model, **quantization)
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nn.QuantizedLinear.quantize_module(model, **quantization)
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model.update(tree_unflatten(list(weights.items())))
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model.update(tree_unflatten(list(weights.items())))
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