Setup VoxCPM2 Windows 11 Offline Setup

The fastest way to get this model running locally is via Optional Features.

Make sure to follow the instructions below.

Everything happens automatically, including the heavy cloud asset download.

Without any user input, the software calibrates parameters for optimal hardware usage.

📘 Build Hash: 81ebae4ae97d19716bf57bf144e5a9a7 • 🗓 2026-07-02



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

VoxCPM2 is a next‑generation speech synthesis model designed to generate highly natural‑sounding audio across dozens of languages. It leverages a conditional parameterization approach that reduces memory footprint by up to 60 % while preserving voice fidelity. The architecture integrates a hierarchical encoder and a diffusion‑based decoder, enabling real‑time inference with latency under 150 ms on standard hardware. A built‑in speaker adaptation module allows users to personalize voice models with just a few seconds of audio, eliminating the need for extensive retraining. These capabilities are showcased in a comparative benchmark where VoxCPM2 outperforms prior models on MOS scores, word error rates, and multilingual consistency, as detailed in the table below.

Metric VoxCPM2 Prior Model
MOS Score 4.62 4.31
Word Error Rate (%) 5.8 7.4
Multilingual Consistency 92% 84%
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  • Installer configuring local neo4j connections for advanced model memory
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  • Installer deploying local real-time text-to-speech channels via ChatTTS library nodes
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  • Downloader pulling optimized code-generation weights for disconnected software systems nodes
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