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Minor rewrite
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@ -65,13 +65,11 @@ def load_quantized(model_name):
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else:
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model_type = shared.args.model_type.lower()
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if shared.args.pre_layer:
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if model_type == 'llama':
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if shared.args.pre_layer and model_type == 'llama':
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load_quant = llama_inference_offload.load_quant
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else:
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print("Warning: ignoring --pre_layer because it only works for llama model type.")
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load_quant = _load_quant
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elif model_type in ('llama', 'opt', 'gptj'):
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if shared.args.pre_layer:
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print("Warning: ignoring --pre_layer because it only works for llama model type.")
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load_quant = _load_quant
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else:
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print("Unknown pre-quantized model type specified. Only 'llama', 'opt' and 'gptj' are supported")
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