diff --git a/mz_kolors_core.py b/mz_kolors_core.py
index 1865690..1cc5f33 100644
--- a/mz_kolors_core.py
+++ b/mz_kolors_core.py
@@ -97,33 +97,19 @@ def MZ_ChatGLM3Loader_call(args):
     except:
         pass
 
-    text_encoder_resp = Utils.cache_get("chatglm3_text_encoder")
-
-    if text_encoder_resp is None or text_encoder_resp['chatglm3_checkpoint'] != chatglm3_checkpoint:
-        if text_encoder_resp is not None and text_encoder_resp['chatglm3_checkpoint'] != chatglm3_checkpoint:
-            del text_encoder_resp
-            gc.collect()
-
-        with (init_empty_weights() if is_accelerate_available else nullcontext()):
-            text_encoder = ChatGLMModel(text_encoder_config)
-            if '4bit' in chatglm3_checkpoint:
-                text_encoder.quantize(4)
-            elif '8bit' in chatglm3_checkpoint:
-                text_encoder.quantize(8)
-
-        text_encoder_sd = load_torch_file(chatglm3_checkpoint_path)
-        if is_accelerate_available:
-            for key in text_encoder_sd:
-                set_module_tensor_to_device(
-                    text_encoder, key, device=offload_device, value=text_encoder_sd[key])
-        else:
-            text_encoder.load_state_dict()
-        Utils.cache_set("chatglm3_text_encoder", {
-            "text_encoder": text_encoder,
-            "chatglm3_checkpoint": chatglm3_checkpoint
-        })
+    with (init_empty_weights() if is_accelerate_available else nullcontext()):
+        text_encoder = ChatGLMModel(text_encoder_config).eval()
+        if '4bit' in chatglm3_checkpoint:
+            text_encoder.quantize(4)
+        elif '8bit' in chatglm3_checkpoint:
+            text_encoder.quantize(8)
+    text_encoder_sd = load_torch_file(chatglm3_checkpoint_path)
+    if is_accelerate_available:
+        for key in text_encoder_sd:
+            set_module_tensor_to_device(
+                text_encoder, key, device=offload_device, value=text_encoder_sd[key])
     else:
-        text_encoder = text_encoder_resp['text_encoder']
+        text_encoder.load_state_dict()
 
     tokenizer_path = os.path.join(
         os.path.dirname(__file__), 'configs', "tokenizer")