VibeVoice-ASR
VibeVoice-ASR is a unified speech-to-text model designed to handle 60-minute long-form audio in a single pass, generating structured transcriptions containing Who (Speaker), When (Timestamps), and What (Content), with support for Customized Hotwords and over 50 languages.
Params
8.7 B
Context
—
Downloads 30d
740 K
Likes
1,293
Download history
daily snapshots · 55 days
▲ 43 K in the last 30 days (6.2%)
740 K661 K
Aug 22Sep 1Sep 11Sep 20
740 K631 K
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 17.3 GB | 20.9 GB | ⚠️ Tight — reduce context |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- VibeVoiceForASRTraining
- Parameters
- 8.7 B
- Tensor type
- BF16
- Licence
- mit
- First seen on the Hub
- 2026-01-21
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any automatic-speech-recognition model