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DennisHuang648/VoxCPM-0.5B-GGUF
VoxCPM-0.5B-GGUF is a text-to-speech model from DennisHuang648. Use it when you need text read aloud. It is set up for gguf. The card lists the license as apache-2.0.
GGUF-converted weights of openbmb/VoxCPM-0.5B for the C++/ggml engine llama.cpp-omni (tools/omni/voxcpm2). The lightest VoxCPM — runs TTS + voice cloning natively on CPU / Metal / CUDA / Vulkan, no PyTorch runtime req…
Downloads · 30 days
131
11% of all-time downloads
All-time downloads
1.2K
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2.2 GB
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.gguf2.2 GB · 100%
From the Hugging Face model README
GGUF-converted weights of openbmb/VoxCPM-0.5B
for the C++/ggml engine llama.cpp-omni
(tools/omni/voxcpm2). The lightest VoxCPM — runs TTS + voice cloning natively on
CPU / Metal / CUDA / Vulkan, no PyTorch runtime required.
| 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.
./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 — 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.