diff --git a/.gitignore b/.gitignore
index 2405a81f..a30fd144 100644
--- a/.gitignore
+++ b/.gitignore
@@ -26,6 +26,7 @@
 .DS_Store
 .eslintrc.js
 .idea
+.env
 .venv
 venv
 .vscode
diff --git a/modules/GPTQ_loader.py b/modules/GPTQ_loader.py
index fe5577e1..7dc20b0a 100644
--- a/modules/GPTQ_loader.py
+++ b/modules/GPTQ_loader.py
@@ -62,7 +62,7 @@ def _load_quant(model, checkpoint, wbits, groupsize=-1, faster_kernel=False, exc
         from safetensors.torch import load_file as safe_load
         model.load_state_dict(safe_load(checkpoint), strict=False)
     else:
-        model.load_state_dict(torch.load(checkpoint), strict=False)
+        model.load_state_dict(torch.load(checkpoint, weights_only=True), strict=False)
 
     model.seqlen = 2048
     return model
diff --git a/modules/training.py b/modules/training.py
index b887fa47..c01f27db 100644
--- a/modules/training.py
+++ b/modules/training.py
@@ -544,7 +544,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
         lora_model = get_peft_model(shared.model, config)
         if not always_override and Path(f"{lora_file_path}/adapter_model.bin").is_file():
             logger.info("Loading existing LoRA data...")
-            state_dict_peft = torch.load(f"{lora_file_path}/adapter_model.bin")
+            state_dict_peft = torch.load(f"{lora_file_path}/adapter_model.bin", weights_only=True)
             set_peft_model_state_dict(lora_model, state_dict_peft)
     except:
         yield traceback.format_exc().replace('\n', '\n\n')