diff --git a/modules/LoRA.py b/modules/LoRA.py
index c95da6ee..74030c25 100644
--- a/modules/LoRA.py
+++ b/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...")
diff --git a/modules/models.py b/modules/models.py
index e4507e57..63060d43 100644
--- a/modules/models.py
+++ b/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)