Install VibeVoice-ASR-HF

For the fastest local setup of this model, Docker is the best choice.

Just follow the guidelines provided below.

The installer auto-downloads and deploys the entire model pack.

The installer will automatically analyze your hardware and select the optimal configuration for your system.

💾 File hash: 03ab2b68b0163c18fc26f27699b004ef (Update date: 2026-06-26) Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk: high-speed SSD 120 GB to cache model layers 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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