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add no_split_module_classes to prevent tensor split error
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@ -118,7 +118,7 @@ def load_model(model_name):
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max_memory['cpu'] = f"{shared.args.cpu_memory or '99'}GiB"
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max_memory['cpu'] = f"{shared.args.cpu_memory or '99'}GiB"
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import accelerate
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import accelerate
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device_map = accelerate.infer_auto_device_map(model, max_memory=max_memory)
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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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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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