Quick Run VibeVoice-ASR-HF Windows 11 Full Speed NPU Mode Local Guide Windows

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

Just follow the guidelines provided below.

No manual effort needed; the setup auto-ingests the large data.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

📄 Hash Value: dc0ec137cb95e7361af89624a4270274 | 📆 Update: 2026-06-26



  • Processor: high single-core performance needed for token latency
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • 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.

Parameter Value
Model size ≈ 150 M parameters
Supported languages 100+ languages & dialects
Average latency <200 ms on CPU
Word error rate <5 %
API compatibility REST & gRPC
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