Run VibeVoice-ASR-HF Windows 11 Zero Config Offline Setup

For the fastest local setup of this model, enabling Windows Features is best.

Please follow the instructions listed below to get started.

All large files and heavy weights are downloaded automatically by the script.

The engine benchmarks your hardware to apply the most effective operational mode.

🛡️ Checksum: f81952d9d3903ffd907ccd38104bdd01 — ⏰ Updated on: 2026-06-23



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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