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auto-assign gpu memory with --auto-devices alone
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@ -130,7 +130,7 @@ def load_model(model_name):
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if args.gpu_memory:
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params.append(f"max_memory={{0: '{args.gpu_memory or '99'}GiB', 'cpu': '{args.cpu_memory or '99'}GiB'}}")
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elif (args.gpu_memory or args.cpu_memory) and not args.load_in_8bit:
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elif not args.load_in_8bit:
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total_mem = (torch.cuda.get_device_properties(0).total_memory/(1024*1024))
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suggestion = round((total_mem-1000)/1000)*1000
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if total_mem-suggestion < 800:
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