diff --git a/expose.h b/expose.h
index b2152c2d9..e8550cb7f 100644
--- a/expose.h
+++ b/expose.h
@@ -4,6 +4,7 @@ const int stop_token_max = 10;
 struct load_model_inputs
 {
     const int threads;
+    const int blasthreads;
     const int max_context_length;
     const int batch_size;
     const bool f16_kv;
diff --git a/gpttype_adapter.cpp b/gpttype_adapter.cpp
index bff069077..97b95d57e 100644
--- a/gpttype_adapter.cpp
+++ b/gpttype_adapter.cpp
@@ -41,6 +41,7 @@ static llama_context * llama_ctx_v1;
 static gpt_params params;
 static int n_past = 0;
 static int n_threads = 4;
+static int n_blasthreads = 4;
 static int n_batch = 8;
 static bool useSmartContext = false;
 static bool unbanTokens = false;
@@ -137,6 +138,7 @@ ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in
 
     file_format = in_file_format;
     n_threads = params.n_threads = inputs.threads;
+    n_blasthreads = inputs.blasthreads;
     n_batch = params.n_batch = inputs.batch_size;
     modelname = params.model = inputs.model_filename;
     useSmartContext = inputs.use_smartcontext;
@@ -460,6 +462,10 @@ generation_outputs gpttype_generate(const generation_inputs inputs, generation_o
         {
             params.n_threads = 1; //do not limit here anymore.
         }
+        else
+        {
+            params.n_threads = n_blasthreads;
+        }
     }
 
     current_context_tokens.resize(n_past);
diff --git a/koboldcpp.py b/koboldcpp.py
index 41e6b887d..2ac195ef9 100644
--- a/koboldcpp.py
+++ b/koboldcpp.py
@@ -11,6 +11,7 @@ stop_token_max = 10
 
 class load_model_inputs(ctypes.Structure):
     _fields_ = [("threads", ctypes.c_int),
+                ("blasthreads", ctypes.c_int),
                 ("max_context_length", ctypes.c_int),
                 ("batch_size", ctypes.c_int),
                 ("f16_kv", ctypes.c_bool),
@@ -133,6 +134,7 @@ def load_model(model_filename):
     inputs.batch_size = 8
     inputs.max_context_length = maxctx #initial value to use for ctx, can be overwritten
     inputs.threads = args.threads
+    inputs.blasthreads = args.blasthreads
     inputs.f16_kv = True
     inputs.use_mmap = (not args.nommap)
     inputs.use_mlock = args.usemlock
@@ -183,7 +185,7 @@ maxctx = 2048
 maxlen = 128
 modelbusy = False
 defaultport = 5001
-KcppVersion = "1.18"
+KcppVersion = "1.19"
 
 class ServerRequestHandler(http.server.SimpleHTTPRequestHandler):
     sys_version = ""
@@ -549,8 +551,11 @@ def main(args):
         args.threads = psutil.cpu_count(logical=False)
         print("Overriding thread count, using " + str(args.threads) + " threads instead.")
 
+    if not args.blasthreads or args.blasthreads <= 0:
+        args.blasthreads = args.threads
+
     modelname = os.path.abspath(args.model_param)
-    print(f"Loading model: {modelname} \n[Threads: {args.threads}, SmartContext: {args.smartcontext}]")
+    print(f"Loading model: {modelname} \n[Threads: {args.threads}, BlasThreads: {args.blasthreads}, SmartContext: {args.smartcontext}]")
     loadok = load_model(modelname)
     print("Load Model OK: " + str(loadok))
 
@@ -604,6 +609,7 @@ if __name__ == '__main__':
         physical_core_limit = int(os.cpu_count()/2)
     default_threads = (physical_core_limit if physical_core_limit<=3 else max(3,physical_core_limit-1))
     parser.add_argument("--threads", help="Use a custom number of threads if specified. Otherwise, uses an amount based on CPU cores", type=int, default=default_threads)
+    parser.add_argument("--blasthreads", help="Use a different number of threads during BLAS if specified. Otherwise, has the same value as --threads", type=int, default=0)
     parser.add_argument("--psutil_set_threads", help="Experimental flag. If set, uses psutils to determine thread count based on physical cores.", action='store_true')
     parser.add_argument("--highpriority", help="Experimental flag. If set, increases the process CPU priority, potentially speeding up generation. Use caution.", action='store_true')
     parser.add_argument("--blasbatchsize", help="Sets the batch size used in BLAS processing (default 512)", type=int,choices=[32,64,128,256,512,1024], default=512)