Launch VoxCPM2 5-Minute Setup

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

Follow the step-by-step instructions below.

The engine will automatically fetch large dependencies in the background.

There is no manual tuning required; the builder deploys the best matching configuration.

💾 File hash: 1fe8bb79b2a32dbfcd0894edc1e9c14a (Update date: 2026-07-01) Verify Processor: high single-core performance needed for token latency RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants 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.

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