sillytui

A frontend for chatting/RP with LLMs, designed to be a TUI version of SillyTavern.

Still in development.

Requirements

• ncurses
• curl
• GCC 13+ or Clang 16+ (for C++23 support)

Installation & Usage

Platform-specific installation instructions

macOS

brew install cmake ncurses curl
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

Windows

TODO

Ubuntu/Debian (and their variants)

sudo apt update && sudo apt install -y build-essential cmake libncursesw5-dev libcurl4-openssl-dev
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

If you're using older GCC versions, you will need to do this first (ubuntu):

sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt update
sudo apt install gcc-13 g++-13
./tools/setup_gcc13.sh

Arch Linux

sudo pacman -S base-devel cmake ncurses curl git
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

Fedora

sudo dnf install cmake ncurses-devel libcurl-devel git
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

OpenSUSE

sudo zypper install cmake ncurses-devel libcurl-devel git
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

Gentoo

sudo emerge -av dev-vcs/git sys-devel/cmake sys-libs/ncurses sys-libs/libcurl
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

Alpine Linux

apk add cmake ncurses-dev curl-dev git
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

FreeBSD

Untested, but:

pkg install cmake ncurses curl git
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

Android (Termux)

pkg install build-essential cmake ncurses libcurl git
git clone https://github.com/AlpinDale/sillytui.git && cd sillytui
make run

See /help for available commands.

Tokenization

We have a self-contained tokenization library that supports the following tokenizers:

• tiktoken
• gpt2bpe
• sentencepiece

You can test it like this:

make example ARGS="--list"  # get a list of available tokenizers
# output:
Available tokenizers:

  openai          OpenAI cl100k (GPT-4, GPT-3.5)
  openai-o200k    OpenAI o200k (GPT-4o)
  qwen3           Qwen 3 (151k vocab)
  llama3          Llama 3 / 3.1 (128k vocab)
  glm4            GLM-4.5 (151k vocab)
  deepseek        DeepSeek R1 (128k vocab)


make example ARGS="-t deepseek 'Hello, world!'"
# output:
Tokenizer: deepseek (DeepSeek R1 (128k vocab))
Text: "Hello, world!"

Token count: 4

Tokens: [19923, 14, 2058, 3]

Decoded tokens:
  [0] 19923 -> "Hello"
  [1] 14 -> ","
  [2] 2058 -> "\xc4\xa0world"
  [3] 3 -> "!"

Acknowledgments

• Kat for C syntax highlighting
• ulight for general purpose syntax highlighting
• ncurses for terminal UI
• curl for HTTP requests