diff --git a/__init__.py b/__init__.py
index 83cd3c4..f245f85 100644
--- a/__init__.py
+++ b/__init__.py
@@ -99,7 +99,7 @@ class MZ_LLamaCPPModelConfig_DownloaderSelect:
         return {
             "required": {
                 "model_name": ([
-                    "Meta-Llama-3-8B-Instruct-Q4_K_M",
+                    "Meta-Llama-3-8B-Instruct.Q4_K_M",
                     "Phi-3-mini-4k-instruct-q4",
                     "Meta-Llama-3-8B-Q4_K_M",
                     "llama3_8b_instruct_dpo_zh-Q4_K_M",
@@ -164,7 +164,7 @@ class MZ_LLamaCPPCLIPTextEncode:
     CATEGORY = CATEGORY_NAME
 
     DESCRIPTION = """
-llama_cpp_model不设置时，将使用默认模型: Meta-Llama-3-8B-Instruct-Q4_K_M.gguf
+llama_cpp_model不设置时，将使用默认模型: Meta-Llama-3-8B-Instruct.Q4_K_M.gguf
 """
 
     def encode(self, **kwargs):
diff --git a/mz_llama_core_nodes.py b/mz_llama_core_nodes.py
index 1a88173..803958b 100644
--- a/mz_llama_core_nodes.py
+++ b/mz_llama_core_nodes.py
@@ -65,7 +65,7 @@ def llama_cpp_node_encode(args_dict):
         model_file = model_config.get("model_path", "auto")
         if model_file == "auto":
             model_file = mz_prompt_utils.Utils.get_auto_model_fullpath(
-                "Meta-Llama-3-8B-Instruct-Q4_K_M")
+                "Meta-Llama-3-8B-Instruct.Q4_K_M")
     elif select_model_type == "DownloaderSelect":
         model_name = model_config.get("model_name", "")
         model_file = mz_prompt_utils.Utils.get_auto_model_fullpath(
diff --git a/mz_prompt_utils.py b/mz_prompt_utils.py
index 703103a..72e24c8 100644
--- a/mz_prompt_utils.py
+++ b/mz_prompt_utils.py
@@ -657,7 +657,7 @@ class Utils:
                 else:
                     result.append(t)
             return ",".join(result)
-        
+
         if text.find(":") != -1:
             text = text.split(":")
             for t in text:
@@ -666,7 +666,7 @@ class Utils:
                 else:
                     result.append(t)
             return ":".join(result)
-        
+
         # 如果是纯数字,不翻译
         if text.isdigit() or text.replace(".", "").isdigit() or text.replace(" ", "").isdigit() or text.replace("-", "").isdigit():
             return text
@@ -792,13 +792,13 @@ class Utils:
 
 MODEL_ZOO = [
     {
-        "model": "Meta-Llama-3-8B-Instruct-Q4_K_M",
+        "model": "Meta-Llama-3-8B-Instruct.Q4_K_M",
         "find_path": [
             "gguf",
         ],
-        "file_path": "gguf/Meta-Llama-3-8B-Instruct-Q4_K_M.gguf",
-        "url": "https://modelscope.cn/api/v1/models/LLM-Research/Meta-Llama-3-8B-Instruct-GGUF/repo?Revision=master&FilePath=Meta-Llama-3-8B-Instruct-Q4_K_M.gguf",
-        "SHA256": "57b26bac2df51111affec600077708de06133b8f49e697723672657c7cbe3b9c",
+        "file_path": "gguf/Meta-Llama-3-8B-Instruct.Q4_K_M.gguf",
+        "url": "https://www.modelscope.cn/api/v1/models/wailovet/MinusZoneAIModels/repo?Revision=master&FilePath=Meta-Llama-3-8B-Instruct-GGUF%2FMeta-Llama-3-8B-Instruct.Q4_K_M.gguf",
+        "SHA256": "647a2b64cbcdbe670432d0502ebb2592b36dd364d51a9ef7a1387b7a4365781f",
     },
     {
         "model": "Meta-Llama-3-8B-Q4_K_M",
@@ -941,14 +941,9 @@ MODEL_ZOO = [
 modelscope_models_map = {
     "llama3": {
         "Meta-Llama-3-8B-Instruct.Q4_K_M.gguf": {
-            "url": "https://modelscope.cn/api/v1/models/LLM-Research/Meta-Llama-3-8B-Instruct-GGUF/repo?Revision=master&FilePath=Meta-Llama-3-8B-Instruct-Q4_K_M.gguf",
-            "output": "modelscope_models/Meta-Llama-3-8B-Instruct-GGUF/Meta-Llama-3-8B-Instruct-Q4_K_M.gguf",
-            "SHA256": "57b26bac2df51111affec600077708de06133b8f49e697723672657c7cbe3b9c",
-        },
-        "Meta-Llama-3-8B-Instruct.Q5_K_M.gguf": {
-            "url": "https://modelscope.cn/api/v1/models/LLM-Research/Meta-Llama-3-8B-Instruct-GGUF/repo?Revision=master&FilePath=Meta-Llama-3-8B-Instruct-Q5_K_M.gguf",
-            "output": "modelscope_models/Meta-Llama-3-8B-Instruct-GGUF/Meta-Llama-3-8B-Instruct-Q5_K_M.gguf",
-            "SHA256": "1ea28c7c5f2a1ada991c40940a59bd42668939feeafb125d0764c38ae815b2a3",
+            "url": "https://www.modelscope.cn/api/v1/models/wailovet/MinusZoneAIModels/repo?Revision=master&FilePath=Meta-Llama-3-8B-Instruct-GGUF%2FMeta-Llama-3-8B-Instruct.Q4_K_M.gguf",
+            "output": "modelscope_models/Meta-Llama-3-8B-Instruct-GGUF/Meta-Llama-3-8B-Instruct.Q4_K_M.gguf",
+            "SHA256": "647a2b64cbcdbe670432d0502ebb2592b36dd364d51a9ef7a1387b7a4365781f",
         },
     },
     "llava": {