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Don't need that
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@ -27,11 +27,6 @@ def load_model(model_name):
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print(f"Loading {model_name}...")
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t0 = time.time()
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if args.cpu:
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dtype = torch.float32
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else:
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dtype = torch.float16
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# Loading the model
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if not args.cpu and Path(f"torch-dumps/{model_name}.pt").exists():
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print("Loading in .pt format...")
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@ -45,9 +40,9 @@ def load_model(model_name):
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model = T5ForConditionalGeneration.from_pretrained(Path(f"models/{model_name}")).cuda()
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else:
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if args.cpu:
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=dtype)
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.float32)
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else:
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{model_name}"), low_cpu_mem_usage=True, torch_dtype=dtype).cuda()
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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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# Loading the tokenizer
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if model_name.lower().startswith('gpt4chan') and Path(f"models/gpt-j-6B/").exists():
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