How to Run VoxCPM2 Using Pinokio Uncensored Edition No-Code Guide

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

Use the instructions provided below to complete the setup.

1-click setup: the app automatically fetches the large weight files.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📄 Hash Value: 417ccfd8fd3fa263c723f9cc4fd13f39 | 📆 Update: 2026-06-28 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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