diff --git a/example/Win32Demo/fastllm.vcxproj b/example/Win32Demo/fastllm.vcxproj
index e5e33c3a..0e57dfdc 100644
--- a/example/Win32Demo/fastllm.vcxproj
+++ b/example/Win32Demo/fastllm.vcxproj
@@ -163,7 +163,6 @@
       <AdditionalOptions>/arch:AVX /source-charset:utf-8 %(AdditionalOptions)</AdditionalOptions>
     </ClCompile>
     <Link>
-      <AdditionalDependencies>cudart.lib;cublas.lib;%(AdditionalDependencies)</AdditionalDependencies>
       <SubSystem>Windows</SubSystem>
       <EnableCOMDATFolding>true</EnableCOMDATFolding>
       <OptimizeReferences>true</OptimizeReferences>
@@ -181,7 +180,7 @@
     <ClInclude Include="..\..\include\models\factoryllm.h" />
     <ClInclude Include="..\..\include\models\glm.h" />
     <ClInclude Include="..\..\include\models\llama.h" />
-    <ClCompile Include="..\..\include\models\minicpm.h" />
+    <ClInclude Include="..\..\include\models\minicpm.h" />
     <ClInclude Include="..\..\include\models\moss.h" />
     <ClInclude Include="..\..\include\models\qwen.h" />
     <ClInclude Include="..\..\include\utils\armMath.h" />
diff --git a/include/models/basellm.h b/include/models/basellm.h
index 156a1d6e..61302542 100644
--- a/include/models/basellm.h
+++ b/include/models/basellm.h
@@ -1,4 +1,7 @@
-#pragma once
+
+#ifndef FASTLLM_BASELLM_H
+#define FASTLLM_BASELLM_H
+
 #include "fastllm.h"
 
 #include <thread>
@@ -50,9 +53,9 @@ namespace fastllm {
             this->weight.ReleaseWeight();
         };
 
-        virtual void LoadFromFile(const std::string &fileName); // 从文件读取
+        virtual void LoadFromFile(const std::string &fileName); // 从文件读取 
 
-        virtual void InitParams(); // 初始化参数信息
+        virtual void InitParams(); // 初始化参数信息 
 
         // 推理
         virtual int Forward(
@@ -85,12 +88,12 @@ namespace fastllm {
                 const LastTokensManager &lastTokens = LastTokensManager(),
                 std::vector <std::vector <float>*> *logits = nullptr);
 
-        // 根据输入的tokens生成LLM推理的输入
+        // 根据输入的tokens生成LLM推理的输入 
         virtual void FillLLMInputs(std::vector <std::vector <float> > &inputTokens,
                                    const std::map <std::string, int> &params,
                                    Data &inputIds, Data &attentionMask, Data &positionIds);
 
-        // 根据输入的tokens生成LLM推理的输入
+        // 根据输入的tokens生成LLM推理的输入 
         virtual void FillLLMInputsBatch(std::vector <std::vector <float> > &inputTokens,
                                         const std::vector <std::map <std::string, int> > &params,
                                         Data &inputIds, Data &attentionMask, Data &positionIds);
@@ -102,16 +105,16 @@ namespace fastllm {
         virtual void ResponseBatch(const std::vector<std::string> &inputs,
                                    std::vector<std::string> &outputs,
                                    RuntimeResultBatch retCb = nullptr,
-                                   const GenerationConfig &generationConfig = GenerationConfig()); // 批量根据给出的内容回复
+                                   const GenerationConfig &generationConfig = GenerationConfig()); // 批量根据给出的内容回复 
 
         virtual int LaunchResponseTokens(const std::vector <int> &inputTokens,
                                          const GenerationConfig &generationConfig = GenerationConfig()); // 启动一个response任务，返回分配的handleId
 
-        virtual int FetchResponseTokens(int handleId); // 获取指定handle的输出, -1代表输出结束了
+        virtual int FetchResponseTokens(int handleId); // 获取指定handle的输出, -1代表输出结束了 
 
         virtual int FetchResponseLogits(int handleId, std::vector <float> &logits); // 获取指定handle的输出Logits
 
-        virtual void SaveLowBitModel(const std::string &fileName, int bit); // 存储成量化模型
+        virtual void SaveLowBitModel(const std::string &fileName, int bit); // 存储成量化模型 
 
         virtual void SaveModel(const std::string &fileName); // 直接导出
 
@@ -158,3 +161,5 @@ namespace fastllm {
         int tokensLimit = -1;
     };
 }
+
+#endif //FASTLLM_BASELLM_H
\ No newline at end of file