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Author: LostRuins

README.md

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 KoboldCpp is an easy-to-use AI text-generation software for GGML models. It's a single self contained distributable from Concedo, that builds off llama.cpp, and adds a versatile Kobold API endpoint, additional format support, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and everything Kobold and Kobold Lite have to offer.
 
 ![Preview](media/preview.png)
+![Preview](media/preview2.png)
+![Preview](media/preview3.png)
+![Preview](media/preview4.png)
 
 ## Usage
 - **[Download the latest .exe release here](https://github.com/LostRuins/koboldcpp/releases/latest)** or clone the git repo.
-- Windows binaries are provided in the form of **koboldcpp.exe**, which is a pyinstaller wrapper for a few **.dll** files and **koboldcpp.py**. If you feel concerned, you may prefer to rebuild it yourself with the provided makefiles and scripts.
+- Windows binaries are provided in the form of **koboldcpp.exe**, which is a pyinstaller wrapper for a few **.dll** files and **koboldcpp.py**. You can also rebuild it yourself with the provided makefiles and scripts.
 - Weights are not included, you can use the official llama.cpp `quantize.exe` to generate them from your official weight files (or download them from other places such as [TheBloke's Huggingface](https://huggingface.co/TheBloke).
 - 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. If you're not on windows, then run the script **KoboldCpp.py** after compiling the libraries.
 - Launching with no command line arguments displays a GUI containing a subset of configurable settings. Generally you dont have to change much besides the `Presets` and `GPU Layers`. Read the `--help` for more info about each settings.
@@ -63,6 +66,7 @@ For more information, be sure to run the program with the `--help` flag.
 - Since v1.0.6, requires libopenblas, the prebuilt windows binaries are included in this repo. If not found, it will fall back to a mode without BLAS.
 - Since v1.15, requires CLBlast if enabled, the prebuilt windows binaries are included in this repo. If not found, it will fall back to a mode without CLBlast.
 - Since v1.33, you can set the context size to be above what the model supports officially. It does increases perplexity but should still work well below 4096 even on untuned models. (For GPT-NeoX, GPT-J, and LLAMA models) Customize this with `--ropeconfig`.
+- Since v1.42, supports GGUF models for LLAMA and Falcon
 - **I plan to keep backwards compatibility with ALL past llama.cpp AND alpaca.cpp models**. But you are also encouraged to reconvert/update your models if possible for best results.
 
 ## License