Zero-Shot

Run VibeVoice-ASR-HF Full Speed NPU Mode

Run VibeVoice-ASR-HF Full Speed NPU Mode

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

Proceed by following the technical instructions below.

The download manager will automatically pull several gigabytes of data.

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🗂 Hash: aebc14b5cab689704c37a7d8cc84f0fd • Last Updated: 2026-07-04



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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