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Better recognize the model sizes
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@ -30,7 +30,7 @@ def load_model(model_name):
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print("Loading in .pt format...")
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model = torch.load(f"torch-dumps/{model_name}.pt").cuda()
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elif model_name.lower().startswith(('gpt-neo', 'opt-', 'galactica')):
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if any(size in model_name for size in ('13b', '20b', '30b')):
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if any(size in model_name.lower() for size in ('13b', '20b', '30b')):
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model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", device_map='auto', load_in_8bit=True)
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else:
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model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda()
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