Emerald7664/OmniVoice-GGUF
OmniVoice GGUF
GGUF weights for omnivoice.cpp, a C++17/GGML port of OmniVoice (k2-fsa/OmniVoice). Multilingual zero shot TTS, 646 languages, 24 kHz mono. Runs on CPU, CUDA, ROCm, Metal, Vulkan.
Files
Two GGUFs load together :
omnivoice-base-{variant}.gguf Qwen3 0.6B backbone, text -> tokens omnivoice-tokenizer-{variant}.gguf HuBERT + DAC + RVQ, tokens <-> 24 kHz audio
Quick start
git clone --recurse-submodules https://github.com/ServeurpersoCom/omnivoice.cpp.git
cd omnivoice.cpp && ./buildcuda.sh
mkdir -p models
huggingface-cli download Serveurperso/OmniVoice-GGUF \
omnivoice-base-Q8_0.gguf omnivoice-tokenizer-Q8_0.gguf \
--local-dir models
cd examples
./tts.sh # voice design -> tts.wav
./clone.sh # voice cloning -> clone.wavBackends
Set GGML_BACKEND to force a device, otherwise the runtime picks the best one available.
Quantization policy
Tokenizer GGUFs are not uniform quants. Three categories get a dedicated treatment :
Same fallback as llama.cpp tensor_type_fallback : F16 has no block size and matches the runtime target dtype on every backend. The base LM (Qwen3 0.6B, hidden = 1024) has all dimensions divisible by 256 so the fallback never triggers, the LM follows standard llama.cpp K-quant across variants.
License
Upstream model : OmniVoice by Xiaomi / k2-fsa, Apache 2.0 Audio codec : Higgs Audio v2 (bosonai/higgs-audio-v2-tokenizer), Apache 2.0 GGUF tooling : omnivoice.cpp, MIT
