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@@ -27,7 +27,7 @@ def load_model(model_name):
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if os.path.exists(f"torch-dumps/{model_name}.pt"):
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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 in ['gpt-neox-20b', 'opt-13b', 'OPT-13B-Erebus']:
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+ elif model_name.lower().startswith(('gpt-neo', 'opt-')):
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model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", device_map='auto', load_in_8bit=True)
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elif model_name in ['gpt-j-6B']:
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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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