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refactor quant models loader and add support of OPT
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@ -7,28 +7,20 @@ import torch
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import modules.shared as shared
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sys.path.insert(0, str(Path("repositories/GPTQ-for-LLaMa")))
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from llama import load_quant
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# 4-bit LLaMA
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def load_quantized_LLaMA(model_name):
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if shared.args.load_in_4bit:
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bits = 4
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def load_quant(model_name, model_type):
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if model_type == 'llama':
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from llama import load_quant
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elif model_type == 'opt':
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from opt import load_quant
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else:
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bits = shared.args.gptq_bits
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print("Unknown pre-quantized model type specified. Only 'llama' and 'opt' are supported")
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exit()
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path_to_model = Path(f'models/{model_name}')
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pt_model = ''
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if path_to_model.name.lower().startswith('llama-7b'):
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pt_model = f'llama-7b-{bits}bit.pt'
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elif path_to_model.name.lower().startswith('llama-13b'):
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pt_model = f'llama-13b-{bits}bit.pt'
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elif path_to_model.name.lower().startswith('llama-30b'):
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pt_model = f'llama-30b-{bits}bit.pt'
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elif path_to_model.name.lower().startswith('llama-65b'):
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pt_model = f'llama-65b-{bits}bit.pt'
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else:
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pt_model = f'{model_name}-{bits}bit.pt'
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pt_model = f'{model_name}-{shared.args.gptq_bits}bit.pt'
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# Try to find the .pt both in models/ and in the subfolder
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pt_path = None
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@ -40,7 +32,7 @@ def load_quantized_LLaMA(model_name):
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print(f"Could not find {pt_model}, exiting...")
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exit()
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model = load_quant(path_to_model, str(pt_path), bits)
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model = load_quant(path_to_model, str(pt_path), shared.args.gptq_bits)
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# Multiple GPUs or GPU+CPU
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if shared.args.gpu_memory:
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