rebrand to koboldcpp

MIT_LICENSE_GGML_LLAMACPP_ONLY

@@ -23,4 +23,4 @@ SOFTWARE.
 ===================================
 
 Note that the above license applies ONLY to the GGML library and llama.cpp by ggerganov which are licensed under the MIT License
-Kobold Lite by Concedo and the provided python ctypes bindings in llamacpp.dll are licensed under the AGPL v3.0 License
+Kobold Lite by Concedo and the provided python ctypes bindings in koboldcpp.dll are licensed under the AGPL v3.0 License

Makefile

@@ -119,7 +119,7 @@ endif
 
 BLAS_BUILD = 
 ifeq ($(OS),Windows_NT)
-	BLAS_BUILD = $(CXX) $(CXXFLAGS) ggml_blas.o ggml_v1.o expose.o common.o llama_adapter.o gptj_adapter.o libopenblas.lib -shared -o llamacpp_blas.dll $(LDFLAGS)
+	BLAS_BUILD = $(CXX) $(CXXFLAGS) ggml_blas.o ggml_v1.o expose.o common.o llama_adapter.o gptj_adapter.o libopenblas.lib -shared -o koboldcpp_blas.dll $(LDFLAGS)
 else
 	BLAS_BUILD = @echo 'Your OS is $(OS) and does not appear to be Windows. If you want to use openblas, please link it manually with LLAMA_OPENBLAS=1'
 endif
@@ -170,7 +170,7 @@ gptj_adapter.o:
 	$(CXX) $(CXXFLAGS) -c gptj_adapter.cpp -o gptj_adapter.o
 
 clean:
-	rm -vf *.o main quantize perplexity embedding main.exe quantize.exe llamacpp.dll llamacpp_blas.dll gptj.exe
+	rm -vf *.o main quantize perplexity embedding main.exe quantize.exe koboldcpp.dll koboldcpp_blas.dll gptj.exe
 
 main: examples/main/main.cpp ggml.o llama.o common.o
 	$(CXX) $(CXXFLAGS) examples/main/main.cpp ggml.o llama.o common.o -o main $(LDFLAGS)
@@ -179,7 +179,7 @@ main: examples/main/main.cpp ggml.o llama.o common.o
 	@echo
 
 llamalib: ggml.o ggml_v1.o expose.o common.o llama_adapter.o gptj_adapter.o
-	$(CXX) $(CXXFLAGS)  ggml.o ggml_v1.o expose.o common.o llama_adapter.o gptj_adapter.o -shared -o llamacpp.dll $(LDFLAGS)
+	$(CXX) $(CXXFLAGS)  ggml.o ggml_v1.o expose.o common.o llama_adapter.o gptj_adapter.o -shared -o koboldcpp.dll $(LDFLAGS)
 
 llamalib_blas: ggml_blas.o ggml_v1.o expose.o common.o llama_adapter.o gptj_adapter.o 
 	$(BLAS_BUILD)

README.md

@@ -1,4 +1,4 @@
-# llamacpp-for-kobold
+# koboldcpp (formerly llamacpp-for-kobold)
 
 A self contained distributable from Concedo that exposes llama.cpp function bindings, allowing it to be used via a simulated Kobold API endpoint. 
 
@@ -9,18 +9,18 @@ What does it mean? You get llama.cpp with a fancy UI, persistent stories, editin
 Now has **BACKWARDS COMPATIBILITY** with ALL 3 versions of GGML LLAMA models, all ALPACA.CPP models, all versions of GPT4ALL.CPP models, and can run GGML older GPT-J.CPP models too. I also use a bunch of tricks to make subsequent prompt processing with shared ancestry much faster than the parent repo does.
 
 ## Usage
-- [Download the latest release here](https://github.com/LostRuins/llamacpp-for-kobold/releases/latest) or clone the repo.
-- Windows binaries are provided in the form of **llamacpp-for-kobold.exe**, which is a pyinstaller wrapper for **llamacpp.dll** and **llamacpp_for_kobold.py**. If you feel concerned, you may prefer to rebuild it yourself with the provided makefiles and scripts.
+- [Download the latest release here](https://github.com/LostRuins/koboldcpp/releases/latest) or clone the repo.
+- Windows binaries are provided in the form of **koboldcpp.exe**, which is a pyinstaller wrapper for **koboldcpp.dll** and **koboldcpp.py**. If you feel concerned, you may prefer to rebuild it yourself with the provided makefiles and scripts.
 - Weights are not included, you can use the `quantize.exe` to generate them from your official weight files (or download them from other places).
-- To run, execute **llamacpp-for-kobold.exe** or drag and drop your quantized `ggml_model.bin` file onto the .exe, and then connect with Kobold or Kobold Lite. 
+- To run, execute **koboldcpp.exe** or drag and drop your quantized `ggml_model.bin` file onto the .exe, and then connect with Kobold or Kobold Lite. 
 - By default, you can connect to http://localhost:5001 
-- You can also run it using the command line `llamacpp-for-kobold.exe [ggml_model.bin] [port]`. For info, please check `llamacpp-for-kobold.exe --help` 
+- You can also run it using the command line `koboldcpp.exe [ggml_model.bin] [port]`. For info, please check `koboldcpp.exe --help` 
 - If you are having crashes or issues with OpenBLAS, please try the `--noblas` flag.
 
 ## OSX and Linux
 - You will have to compile your binaries from source. A makefile is provided, simply run `make`
 - If you want you can also link your own install of OpenBLAS manually with `make LLAMA_OPENBLAS=1`
-- After all binaries are built, you can run the python script with the command `llamacpp_for_kobold.py [ggml_model.bin] [port]`
+- After all binaries are built, you can run the python script with the command `koboldcpp.py [ggml_model.bin] [port]`
 
 ## Considerations
 - Don't want to use pybind11 due to dependencies on MSVCC
@@ -33,7 +33,7 @@ Now has **BACKWARDS COMPATIBILITY** with ALL 3 versions of GGML LLAMA models, al
 ## License
 - The original GGML library and llama.cpp by ggerganov are licensed under the MIT License
 - However, Kobold Lite is licensed under the AGPL v3.0 License
-- The provided python ctypes bindings in llamacpp.dll are also under the AGPL v3.0 License
+- The provided python ctypes bindings in koboldcpp.dll are also under the AGPL v3.0 License
 
 ## Notes
 - Generation delay scales linearly with original prompt length. See [this discussion](https://github.com/ggerganov/llama.cpp/discussions/229). If OpenBLAS is enabled then prompt ingestion becomes about 2-3x faster. This is automatic on windows, but will require linking on OSX and Linux.

klite.embd

@@ -1,7 +1,7 @@
 <!-- 
-An embedded version of Kobold Lite for use in llamacpp-for-kobold
+An embedded version of Kobold Lite for use in koboldcpp
 Current version: 17
-Kobold Lite is under the AGPL v3.0 License for the purposes of llamacpp-for-kobold. Please do not remove this line.
+Kobold Lite is under the AGPL v3.0 License for the purposes of koboldcpp. Please do not remove this line.
 - Concedo
 -->
 

koboldcpp.py

@@ -39,13 +39,13 @@ def init_library():
     global handle, use_blas
     libname = ""
     if use_blas:
-        libname = "llamacpp_blas.dll"
+        libname = "koboldcpp_blas.dll"
     else:
-        libname = "llamacpp.dll"
+        libname = "koboldcpp.dll"
 
     print("Initializing dynamic library: " + libname)
     dir_path = os.path.dirname(os.path.realpath(__file__))  
-    
+
     #OpenBLAS should provide about a 2x speedup on prompt ingestion if compatible.
     handle = ctypes.CDLL(os.path.join(dir_path, libname ))
 
@@ -86,7 +86,7 @@ def generate(prompt,max_length=20, max_context_length=512,temperature=0.8,top_k=
 ### A hacky simple HTTP server simulating a kobold api by Concedo
 ### we are intentionally NOT using flask, because we want MINIMAL dependencies
 #################################################################
-friendlymodelname = "concedo/llamacpp"  # local kobold api apparently needs a hardcoded known HF model name
+friendlymodelname = "concedo/koboldcpp"  # local kobold api apparently needs a hardcoded known HF model name
 maxctx = 2048
 maxlen = 128
 modelbusy = False
@@ -292,8 +292,8 @@ def RunServerMultiThreaded(addr, port, embedded_kailite = None):
 
 def main(args): 
     global use_blas
-    if not os.path.exists(os.path.join(os.path.dirname(os.path.realpath(__file__)), "libopenblas.dll")) or not os.path.exists(os.path.join(os.path.dirname(os.path.realpath(__file__)), "llamacpp_blas.dll")):
-        print("Warning: libopenblas.dll or llamacpp_blas.dll not found. Non-BLAS library will be used. Ignore this if you have manually linked with OpenBLAS.")
+    if not os.path.exists(os.path.join(os.path.dirname(os.path.realpath(__file__)), "libopenblas.dll")) or not os.path.exists(os.path.join(os.path.dirname(os.path.realpath(__file__)), "koboldcpp_blas.dll")):
+        print("Warning: libopenblas.dll or koboldcpp_blas.dll not found. Non-BLAS library will be used. Ignore this if you have manually linked with OpenBLAS.")
         use_blas = False
     elif os.name != 'nt':
         print("Prebuilt OpenBLAS binaries only available for windows. Please manually build/link libopenblas from makefile with LLAMA_OPENBLAS=1")

make_pyinstaller.bat

@@ -1 +1 @@
-pyinstaller --noconfirm --onefile --clean --console --icon "./niko.ico" --add-data "./klite.embd;." --add-data "./llamacpp.dll;." --add-data "./llamacpp_blas.dll;." --add-data "./libopenblas.dll;." "./llamacpp_for_kobold.py" -n "llamacpp-for-kobold.exe"
+pyinstaller --noconfirm --onefile --clean --console --icon "./niko.ico" --add-data "./klite.embd;." --add-data "./koboldcpp.dll;." --add-data "./koboldcpp_blas.dll;." --add-data "./libopenblas.dll;." "./koboldcpp.py" -n "koboldcpp.exe"