VibeVoice-ASR-HF on Your PC Offline Setup

Docker offers the quickest path to setting up this model locally.

Follow the guidelines below to continue.

After that, you will have a production-ready AI ecosystem with unlimited tokens to power your applications, code bases, and text pipelines.

📤 Release Hash: 2027084fea34ec786b2647196500fb06 • 📅 Date: 2026-06-25 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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