VoxCPM-0.5B β€” GGUF weights for llama.cpp-omni

GGUF-converted weights of openbmb/VoxCPM-0.5B for the C++/ggml engine llama.cpp-omni (tools/omni/voxcpm2). The lightest VoxCPM β€” runs TTS + voice cloning natively on CPU / Metal / CUDA / Vulkan, no PyTorch runtime required.

Files

File Format Size Component
VoxCPM-0.5B-BaseLM-F16.gguf F16 ~974 MB Base language model
VoxCPM-0.5B-BaseLM-Q8_0.gguf Q8_0 ~519 MB Base language model, 8-bit (recommended)
VoxCPM-0.5B-Acoustic-F16.gguf F16 ~560 MB Acoustic stack (ResidualLM + FSQ + CFM + AudioVAE)

Output: 16 kHz mono. Use one BaseLM (Q8_0 recommended) + the Acoustic file.

Usage

./voxcpm2-cli -t "Hello from VoxCPM 0.5B." -o out.wav \
    VoxCPM-0.5B-BaseLM-Q8_0.gguf VoxCPM-0.5B-Acoustic-F16.gguf
# voice cloning: add  -r speaker.wav

Verified on Apple M4 Pro / Metal (RTF ~1.06 β€” fastest of the VoxCPM family). Flags: --cfg, --timesteps, --seed, --temperature, -r (clone), --prompt-wav/--prompt-text (reference-transcript clone), --cpu. License/terms inherit from the upstream model.

Downloads last month
257
GGUF
Model size
0.3B params
Architecture
voxcpm-acoustic
Hardware compatibility
Log In to add your hardware

8-bit

16-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for DennisHuang648/VoxCPM-0.5B-GGUF

Quantized
(4)
this model