To install this model locally in the shortest time, opt for a direct curl execution.

Please follow the instructions listed below to get started.

The setup auto-streams the model assets (expect a multi-GB download).

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

🔗 SHA sum: eb98f4906d4cf3e5669d34f21a86a01a | Updated: 2026-07-04 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk Space:70 GB free space for full FP16 weights storage Graphics: 12 GB VRAM minimum required for basic quantization

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.

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