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@ -111,6 +111,7 @@ def load_model(model_name):
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model = load_quant(path_to_model, Path(f"models/{pt_model}"), 4)
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model = load_quant(path_to_model, Path(f"models/{pt_model}"), 4)
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# Multi-GPU setup
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if shared.args.gpu_memory:
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if shared.args.gpu_memory:
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import accelerate
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import accelerate
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@ -121,6 +122,8 @@ def load_model(model_name):
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device_map = accelerate.infer_auto_device_map(model, max_memory=max_memory, no_split_module_classes=["LLaMADecoderLayer"])
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device_map = accelerate.infer_auto_device_map(model, max_memory=max_memory, no_split_module_classes=["LLaMADecoderLayer"])
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model = accelerate.dispatch_model(model, device_map=device_map)
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model = accelerate.dispatch_model(model, device_map=device_map)
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# Single GPU
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else:
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else:
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model = model.to(torch.device('cuda:0'))
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model = model.to(torch.device('cuda:0'))
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