Deploy VibeVoice-ASR-HF One-Click Setup No-Code Guide

If you want the fastest local installation for this model, use Docker.

Make sure to follow the instructions below. The installer auto-downloads and deploys the entire model pack.

During setup, the script automatically determines and applies the best settings tailored to your machine.

📦 Hash-sum → 1bd0099a1eb42e0149035bdbba0fdf87 | 📌 Updated on 2026-06-26 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Storage:100 GB free space for HuggingFace cache folder GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

The VibeVoice-ASR-HF leverages a transformer-based architecture optimized for low‑latency speech recognition in edge environments. It supports over 100 languages and dialects, delivering real-time transcription with an average word error rate below 5 %. The model achieves sub‑200 ms inference time on standard CPUs, making it suitable for live captioning and voice‑controlled applications. Integrated with popular frameworks through a lightweight API, developers can deploy the model without extensive hardware resources. A comparison of key metrics is provided below.

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