Remove unused import

modules/LoRA.py

@@ -10,7 +10,7 @@ def add_lora_to_model(lora_name):
 
     # Is there a more efficient way of returning to the base model?
     if lora_name == "None":
-        print(f"Reloading the model to remove the LoRA...")
+        print("Reloading the model to remove the LoRA...")
         shared.model, shared.tokenizer = load_model(shared.model_name)
     else:
         print(f"Adding the LoRA {lora_name} to the model...")

modules/models.py

@@ -8,7 +8,6 @@ import numpy as np
 import torch
 import transformers
 from accelerate import infer_auto_device_map, init_empty_weights
-from peft import PeftModel
 from transformers import (AutoConfig, AutoModelForCausalLM, AutoTokenizer,
                           BitsAndBytesConfig)