diff --git a/Makefile b/Makefile
index 7b6d122d3..b5b0481ae 100644
--- a/Makefile
+++ b/Makefile
@@ -469,7 +469,7 @@ ifndef LLAMA_CUBLAS
 ifndef LLAMA_HIPBLAS
 ifndef LLAMA_VULKAN
 ifndef LLAMA_METAL
-NOTIFY_MSG = @echo -e '\n***\nYou did a basic CPU build. For faster speeds, consider installing and linking a GPU BLAS library. For example, set LLAMA_CLBLAST=1 LLAMA_VULKAN=1 to compile with Vulkan and CLBlast support. Add LLAMA_PORTABLE=1 to make a sharable build that other devices can use. Read the KoboldCpp Wiki for more information. This is just a reminder, not an error.\n***\n'
+NOTIFY_MSG = @echo -e '\n***\nYou did a basic CPU build. For faster speeds, consider installing and linking a GPU library. For example, set LLAMA_CLBLAST=1 LLAMA_VULKAN=1 to compile with Vulkan and CLBlast support. Add LLAMA_PORTABLE=1 to make a sharable build that other devices can use. Read the KoboldCpp Wiki for more information. This is just a reminder, not an error.\n***\n'
 endif
 endif
 endif
diff --git a/gpttype_adapter.cpp b/gpttype_adapter.cpp
index fa89d4bfc..b819e6169 100644
--- a/gpttype_adapter.cpp
+++ b/gpttype_adapter.cpp
@@ -3941,7 +3941,7 @@ generation_outputs gpttype_generate(const generation_inputs inputs)
         //print progress
         if (!startedsampling && allow_regular_prints)
         {
-            printf("\rProcessing Prompt%s (%d / %zu tokens)", (blasmode ? " [BLAS]" : ""), input_consumed, embd_inp.size());
+            printf("\rProcessing Prompt%s (%d / %zu tokens)", (blasmode ? " [BATCH]" : ""), input_consumed, embd_inp.size());
         }
         fflush(stdout);
 
diff --git a/koboldcpp.py b/koboldcpp.py
index 405fa5b47..73b893edd 100644
--- a/koboldcpp.py
+++ b/koboldcpp.py
@@ -6593,6 +6593,7 @@ def setuptunnel(global_memory, has_sd):
                         if global_memory and global_memory["load_complete"]:
                             print(f"Your remote Kobold API can be found at {tunneloutput}/api")
                             print(f"Your remote OpenAI Compatible API can be found at {tunneloutput}/v1")
+                            print(f"Your remote llama.cpp secondary WebUI at {tunneloutput}/lcpp/")
                             if has_sd:
                                 print(f"StableUI is available at {tunneloutput}/sdui/")
                             print("======\n")
@@ -7733,6 +7734,7 @@ def kcpp_main_process(launch_args, g_memory=None, gui_launcher=False):
         if not args.remotetunnel:
             print(f"Starting Kobold API on port {args.port} at {endpoint_url}/api/")
             print(f"Starting OpenAI Compatible API on port {args.port} at {endpoint_url}/v1/")
+            print(f"Starting llama.cpp secondary WebUI at {endpoint_url}/lcpp/")
             if args.sdmodel:
                 print(f"StableUI is available at {endpoint_url}/sdui/")
         elif global_memory:
@@ -7742,6 +7744,7 @@ def kcpp_main_process(launch_args, g_memory=None, gui_launcher=False):
                 remote_url = val
                 print(f"Your remote Kobold API can be found at {endpoint_url}/api")
                 print(f"Your remote OpenAI Compatible API can be found at {endpoint_url}/v1")
+                print(f"Starting llama.cpp secondary WebUI at {endpoint_url}/lcpp/")
                 if args.sdmodel:
                     print(f"StableUI is available at {endpoint_url}/sdui/")
             global_memory["load_complete"] = True