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Don't use low_cpu_mem_usage and device_map together
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@ -87,10 +87,11 @@ def load_model(model_name):
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda()
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# Custom
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else:
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settings = ["low_cpu_mem_usage=True"]
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command = "AutoModelForCausalLM.from_pretrained"
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settings = []
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if args.cpu:
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settings.append("low_cpu_mem_usage=True")
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settings.append("torch_dtype=torch.float32")
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else:
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settings.append("device_map='auto'")
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