Reformat everything
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@@ -13,6 +13,7 @@ def reload_model():
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clear_torch_cache()
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shared.model, shared.tokenizer = load_model(shared.model_name)
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def add_lora_to_model(lora_name):
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# If a LoRA had been previously loaded, or if we want
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@@ -27,10 +28,10 @@ def add_lora_to_model(lora_name):
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if not shared.args.cpu:
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params['dtype'] = shared.model.dtype
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if hasattr(shared.model, "hf_device_map"):
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params['device_map'] = {"base_model.model."+k: v for k, v in shared.model.hf_device_map.items()}
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params['device_map'] = {"base_model.model." + k: v for k, v in shared.model.hf_device_map.items()}
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elif shared.args.load_in_8bit:
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params['device_map'] = {'': 0}
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shared.model = PeftModel.from_pretrained(shared.model, Path(f"{shared.args.lora_dir}/{lora_name}"), **params)
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if not shared.args.load_in_8bit and not shared.args.cpu:
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shared.model.half()
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