diff --git a/expose.cpp b/expose.cpp
index df75fac1f880b..d385ffcb7b221 100644
--- a/expose.cpp
+++ b/expose.cpp
@@ -27,6 +27,7 @@ extern "C"
 
     //return val: 0=fail, 1=(original ggml, alpaca), 2=(ggmf), 3=(ggjt)
     static FileFormat file_format = FileFormat::BADFORMAT;
+    static FileFormatExtraMeta file_format_meta;
 
     bool load_model(const load_model_inputs inputs)
     {
@@ -36,11 +37,9 @@ extern "C"
 
         int forceversion = inputs.forceversion;
 
-        if(forceversion==0)
-        {
-            file_format = check_file_format(model.c_str());
-        }
-        else
+        file_format = check_file_format(model.c_str(),&file_format_meta);
+
+        if(forceversion!=0)
         {
             printf("\nWARNING: FILE FORMAT FORCED TO VER %d\nIf incorrect, loading may fail or crash.\n",forceversion);
             file_format = (FileFormat)forceversion;
@@ -64,7 +63,7 @@ extern "C"
         if(file_format==FileFormat::GPTJ_1 || file_format==FileFormat::GPTJ_2 || file_format==FileFormat::GPTJ_3 || file_format==FileFormat::GPTJ_4  || file_format==FileFormat::GPTJ_5)
         {
             printf("\n---\nIdentified as GPT-J model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-            ModelLoadResult lr = gpttype_load_model(inputs, file_format);
+            ModelLoadResult lr = gpttype_load_model(inputs, file_format, file_format_meta);
             if (lr == ModelLoadResult::RETRY_LOAD)
             {
                 if(file_format==FileFormat::GPTJ_1)
@@ -73,14 +72,14 @@ extern "C"
                     //otherwise if we tried 3 first, then try 2
                     file_format = FileFormat::GPTJ_4;
                     printf("\n---\nRetrying as GPT-J model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                    lr = gpttype_load_model(inputs, file_format);
+                    lr = gpttype_load_model(inputs, file_format, file_format_meta);
                 }
 
                 if (lr == ModelLoadResult::RETRY_LOAD)
                 {
                     file_format = FileFormat::GPTJ_3;
                     printf("\n---\nRetrying as GPT-J model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                    lr = gpttype_load_model(inputs, file_format);
+                    lr = gpttype_load_model(inputs, file_format, file_format_meta);
                 }
 
                 //lastly try format 2
@@ -88,7 +87,7 @@ extern "C"
                 {
                     file_format = FileFormat::GPTJ_2;
                     printf("\n---\nRetrying as GPT-J model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                    lr = gpttype_load_model(inputs, file_format);
+                    lr = gpttype_load_model(inputs, file_format, file_format_meta);
                 }
             }
 
@@ -104,18 +103,18 @@ extern "C"
         else if(file_format==FileFormat::GPT2_1||file_format==FileFormat::GPT2_2||file_format==FileFormat::GPT2_3||file_format==FileFormat::GPT2_4)
         {
             printf("\n---\nIdentified as GPT-2 model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-            ModelLoadResult lr = gpttype_load_model(inputs, file_format);
+            ModelLoadResult lr = gpttype_load_model(inputs, file_format, file_format_meta);
             if (lr == ModelLoadResult::RETRY_LOAD)
             {
                 file_format = FileFormat::GPT2_3;
                 printf("\n---\nRetrying as GPT-2 model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                lr = gpttype_load_model(inputs, file_format);
+                lr = gpttype_load_model(inputs, file_format, file_format_meta);
             }
             if (lr == ModelLoadResult::RETRY_LOAD)
             {
                 file_format = FileFormat::GPT2_2;
                 printf("\n---\nRetrying as GPT-2 model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                lr = gpttype_load_model(inputs, file_format);
+                lr = gpttype_load_model(inputs, file_format, file_format_meta);
             }
             if (lr == ModelLoadResult::FAIL || lr == ModelLoadResult::RETRY_LOAD)
             {
@@ -129,27 +128,27 @@ extern "C"
         else if(file_format==FileFormat::NEOX_1 || file_format==FileFormat::NEOX_2 || file_format==FileFormat::NEOX_3 || file_format==FileFormat::NEOX_4 || file_format==FileFormat::NEOX_5 || file_format==FileFormat::NEOX_6 || file_format==FileFormat::NEOX_7)
         {
             printf("\n---\nIdentified as GPT-NEO-X model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-            ModelLoadResult lr = gpttype_load_model(inputs, file_format);
+            ModelLoadResult lr = gpttype_load_model(inputs, file_format, file_format_meta);
             if (lr == ModelLoadResult::RETRY_LOAD)
             {
                 if(file_format==FileFormat::NEOX_2)
                 {
                     file_format = FileFormat::NEOX_3;
                     printf("\n---\nRetrying as GPT-NEO-X model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                    lr = gpttype_load_model(inputs, file_format);
+                    lr = gpttype_load_model(inputs, file_format, file_format_meta);
                 }
                 else
                 {
                     file_format = FileFormat::NEOX_5;
                     printf("\n---\nRetrying as GPT-NEO-X model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                    lr = gpttype_load_model(inputs, file_format);
+                    lr = gpttype_load_model(inputs, file_format, file_format_meta);
                 }
             }
             if (lr == ModelLoadResult::RETRY_LOAD)
             {
                 file_format = FileFormat::NEOX_1;
                 printf("\n---\nRetrying as GPT-NEO-X model: (ver %d)\nAttempting to Load...\n---\n", file_format);
-                lr = gpttype_load_model(inputs, file_format);
+                lr = gpttype_load_model(inputs, file_format, file_format_meta);
             }
             if (lr == ModelLoadResult::FAIL || lr == ModelLoadResult::RETRY_LOAD)
             {
@@ -178,7 +177,7 @@ extern "C"
             {
                 printf("\n---\nIdentified as LLAMA model: (ver %d)\nAttempting to Load...\n---\n", file_format);
             }
-            ModelLoadResult lr = gpttype_load_model(inputs, file_format);
+            ModelLoadResult lr = gpttype_load_model(inputs, file_format, file_format_meta);
             if (lr == ModelLoadResult::FAIL || lr == ModelLoadResult::RETRY_LOAD)
             {
                 return false;
diff --git a/gpttype_adapter.cpp b/gpttype_adapter.cpp
index 4a010c7de4f16..a8ebbd25f6f8b 100644
--- a/gpttype_adapter.cpp
+++ b/gpttype_adapter.cpp
@@ -393,7 +393,7 @@ static std::string RemoveBell(const std::string & input) //removes the bell char
     return word2;
 }
 
-ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in_file_format)
+ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in_file_format, FileFormatExtraMeta file_format_meta)
 {
     ggml_time_init();
 
@@ -438,11 +438,11 @@ ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in
         {
             //approximate NTK aware ctx
             auto effectivenctx = params.n_ctx;
-            // if((file_format == FileFormat::GGUF_LLAMA || file_format==FileFormat::GGUF_FALCON) && llama_ctx_v4->model.hparams.n_ctx_train>2048)
-            // {
-            //     float factor = llama_ctx_v4->model.hparams.n_ctx_train/2048;
-            //     effectivenctx = effectivenctx/factor;
-            // }
+            if((file_format == FileFormat::GGUF_LLAMA || file_format==FileFormat::GGUF_FALCON) && file_format_meta.n_ctx_train > 2048)
+            {
+                float factor = file_format_meta.n_ctx_train/2048;
+                effectivenctx = effectivenctx/factor;
+            }
             rope_freq_base = (effectivenctx <= 3072 ? 26000.0f : (effectivenctx <= 4096 ? 32000.0f : (effectivenctx <= 6144 ? 54000.0f : (effectivenctx <= 8192 ? 82684.0f : (effectivenctx <= 12288 ? 140000.0f : 200000.0f)))));
 
         }
diff --git a/koboldcpp.py b/koboldcpp.py
index f1b1a70b7ef3d..a090c1a8dea68 100755
--- a/koboldcpp.py
+++ b/koboldcpp.py
@@ -330,7 +330,7 @@ def utfprint(str):
 maxhordelen = 256
 modelbusy = threading.Lock()
 defaultport = 5001
-KcppVersion = "1.42.1"
+KcppVersion = "1.43"
 showdebug = True
 showsamplerwarning = True
 showmaxctxwarning = True
diff --git a/model_adapter.cpp b/model_adapter.cpp
index 0f4d61e8e1047..5c3a3f95fb14e 100644
--- a/model_adapter.cpp
+++ b/model_adapter.cpp
@@ -80,7 +80,7 @@ void print_tok_vec(std::vector<float> &embd)
 }
 
 //return val: 0=fail, 1=(original ggml, alpaca), 2=(ggmf), 3=(ggjt)
- FileFormat check_file_format(const std::string & fname)
+ FileFormat check_file_format(const std::string & fname, FileFormatExtraMeta * fileformatmeta)
  {
     std::vector<char> f_buf(1024*1024);
 
@@ -266,7 +266,7 @@ void print_tok_vec(std::vector<float> &embd)
         auto keyidx = gguf_find_key(ctx, "general.architecture");
         std::string modelarch = "";
         if (keyidx != -1) { modelarch = gguf_get_val_str(ctx, keyidx); }
-        gguf_free(ctx);
+
         if(modelarch=="llama")
         {
             fileformat = FileFormat::GGUF_LLAMA;
@@ -280,6 +280,16 @@ void print_tok_vec(std::vector<float> &embd)
         {
             printf("\nERROR: Detected unimplemented GGUF Arch: %s\n",modelarch.c_str());
         }
+
+        if(modelarch!="" && fileformatmeta!=nullptr)
+        {
+            std::string fkey = modelarch+".context_length";
+            auto keyidx = gguf_find_key(ctx, fkey.c_str());
+            if (keyidx != -1) {
+                fileformatmeta->n_ctx_train = gguf_get_val_u32(ctx, keyidx);
+            }
+        }
+        gguf_free(ctx);
     }
 
     if(fin.is_open())
diff --git a/model_adapter.h b/model_adapter.h
index 5618d3592ae80..fa596700a8df1 100644
--- a/model_adapter.h
+++ b/model_adapter.h
@@ -51,6 +51,11 @@ enum FileFormat
 
 };
 
+struct FileFormatExtraMeta
+{
+    int n_ctx_train = 2048;
+};
+
 enum ModelLoadResult
 {
     FAIL = 0,
@@ -58,7 +63,7 @@ enum ModelLoadResult
     RETRY_LOAD = 2, //used if it's suspected that the model is an older format
 };
 
-ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in_file_format);
+ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in_file_format, FileFormatExtraMeta file_format_meta);
 generation_outputs gpttype_generate(const generation_inputs inputs, generation_outputs &output);
 bool gpttype_generate_abort();
 const std::string & gpttype_get_pending_output();
@@ -73,7 +78,7 @@ std::vector<int> LongestCommonSubseq(const std::vector<int> x, const std::vector
 bool ArrStartWith(const std::vector<int> targetArray, const std::vector<int> searchSeq);
 int ArrFindIndexOf(const std::vector<int> targetArray, const std::vector<int> searchSeq);
 
-FileFormat check_file_format(const std::string & fname);
+FileFormat check_file_format(const std::string & fname, FileFormatExtraMeta * fileformatmeta);
 void ContextFastForward(std::vector<int> &current_context_tokens, std::vector<int> &embd_inp,
  int &n_past, std::vector<int> &last_n_tokens, const int nctx, std::vector<int> &smartcontext,
  const bool useSmartContext, const bool requireFullSubset);
\ No newline at end of file