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rename method
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@ -89,9 +89,9 @@ def load_model(model_name):
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# Quantized model
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elif shared.args.gptq_bits > 0:
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from modules.quant_loader import load_quant
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from modules.quant_loader import load_quantized
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model = load_quant(model_name, shared.args.gptq_model_type)
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model = load_quantized(model_name, shared.args.gptq_model_type)
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# Custom
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else:
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@ -10,7 +10,7 @@ sys.path.insert(0, str(Path("repositories/GPTQ-for-LLaMa")))
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# 4-bit LLaMA
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def load_quant(model_name, model_type):
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def load_quantized(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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