How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Serveurperso/chatterbox-GGUF:# Run inference directly in the terminal:
llama cli -hf Serveurperso/chatterbox-GGUF:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Serveurperso/chatterbox-GGUF:# Run inference directly in the terminal:
./llama-cli -hf Serveurperso/chatterbox-GGUF:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Serveurperso/chatterbox-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf Serveurperso/chatterbox-GGUF:Use Docker
docker model run hf.co/Serveurperso/chatterbox-GGUF:Quick Links
Chatterbox GGUF
GGUF conversions of Chatterbox turbo and multilingual v3 for the llama.cpp
mtmd TTS pipeline. Proof of concept built with @ngxson, under review:
https://github.com/ngxson/llama.cpp/pull/107
Requires a build of the PR branch. Voice cloning takes any reference clip
via --tts-speaker-file, sampling defaults per variant are embedded in the
GGUFs (general.sampling.*).
llama-tts -m chatterbox-turbo-GGUF-Q8_0.gguf \
-mm mmproj-chatterbox-turbo-GGUF-Q8_0.gguf \
--tts-speaker-file ref.wav -p "Hello there." -o out.wav
Multilingual prompts carry a language tag: -p "[fr]Bonjour."
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Base model
ResembleAI/chatterbox
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Serveurperso/chatterbox-GGUF:# Run inference directly in the terminal: llama cli -hf Serveurperso/chatterbox-GGUF: