VoxCPM 0.5B ONNX
ONNX export of openbmb/VoxCPM-0.5B, the smaller bilingual Chinese/English diffusion-autoregressive TTS model.
This bundle includes the optimized serving graph set from
models/voxcpm/export:
| Graph | Role |
|---|---|
voxcpm-decoder.onnx |
unified prefill + token-step graph with shared LM weights stored once |
voxcpm-audio-encoder.onnx |
reference prompt audio to latent prompt frames |
voxcpm-audio-decoder.onnx |
generated latents to 16 kHz PCM |
The exporter can also emit split voxcpm-text-prefill.onnx and
voxcpm-token-step.onnx graphs for isolated debugging, but serving should
load voxcpm-decoder.onnx to avoid storing the LM weights twice.
Precision
The autoregressive path is quality-sensitive. This bundle includes FP32 LM
graph plus a voxcpm-decoder.fp16w.onnx variant that stores MatMul weights
as fp16 while keeping fp32 graph I/O and compute. The audio encoder/decoder
stay FP32.
Dynamic activation INT8 is intentionally not used. It can preserve loadability while damaging hidden states and spoken content on this model family.
Validation
Export-time validation on the real openbmb/VoxCPM-0.5B weights:
- PyTorch-vs-ONNX numeric checks passed for the serving graphs.
- fp16-weight storage tensor self-check passed for
voxcpm-decoder.fp16w.onnx.
Run a cloned-voice ASR roundtrip before promoting a new published artifact to production.
Source
- Weights: https://huggingface.co/openbmb/VoxCPM-0.5B
- Source: https://github.com/OpenBMB/VoxCPM
- Export scripts: https://github.com/soniqo/speech-models/tree/main/models/voxcpm
Responsible Use
Voice cloning capability is included. Obtain consent before cloning a voice, and do not use the model to impersonate people, mislead listeners, or commit fraud.