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Model · OpenBMB · Text-To-Speech

VoxCPM2

OpenBMB's open text-to-speech model — 30 languages, voice cloning from a short clip, and Voice Design that invents a new voice from a written description. Apache 2.0, so a business can ship it without a licence fee.

Modality
Text-To-Speech
License
Apache 2.0 (Open)
Parameter size
2B
Released
April 6, 2026
Last verified
October 28, 2026
Runs locally
Yes

What you need to run it

Mac
Yes, but slow. Any Apple Silicon Mac (M1 or newer) with at least 16 GB (24 GB recommended) of memory. It runs, but much slower than on an NVIDIA card.
Windows / Linux PC
NVIDIA works best. A graphics card with at least 8 GB of video memory.
No graphics card
Not practical. Too slow without a graphics card or Apple Silicon.

Works on a Mac through PyTorch MPS or a Metal GGUF build, but at about 1.8x slower than real time on an M4 Pro, so an NVIDIA card is much faster.

Numbers are for: official 2B weights. Based on the maker’s own figures; where the maker gives only a graphics-card figure, the Mac memory is our estimate.

Strengths

  • Apache 2.0 for both weights and code — free for commercial use
  • 30 languages with no language tag needed in the input text
  • Voice Design: describe a voice in words (age, tone, pace) and get it, with no reference audio
  • Clones a voice from a short reference clip, with optional style guidance for emotion and pace
  • 48 kHz output and real-time streaming (real-time factor about 0.3 on an RTX 4090)
  • Runs on a graphics card with about 8 GB of memory

Weaknesses

  • Needs an NVIDIA GPU with CUDA 12 or newer for the reference setup
  • Voice Design and controllable cloning vary between runs — OpenBMB suggests generating one to three times
  • Realistic cloning carries impersonation risk; the README forbids fraud and impersonation use

Try it

WhereTypeNotes
Hugging Face weights Apache 2.0
GitHub (voxcpm package) local Python package and CLI; also served by vLLM-Omni and a llama.cpp fork

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: https://github.com/OpenBMB/VoxCPM.
  • — Initial entry. Added 2026-10-28 from the popularity sweep: 40.8k GitHub stars, 983k Hugging Face downloads/month, 1,732 likes. The README dates VoxCPM2 only to April 2026; the release date used is the 2.0.0 GitHub release tag (2026-04-06). Replaces VoxCPM-0.5B (2025-09) and VoxCPM1.5 (2025-12), which supported only Chinese and English.