FireRedVAD -- GGUF
GGUF conversions of FireRedTeam/FireRedVAD for use with CrispStrobe/CrispASR.
Available variants
| File | Variant | Size | Params | Notes |
|---|---|---|---|---|
firered-vad.gguf |
VAD | 2.4 MB | 588K | Non-streaming, lookback+lookahead |
firered-stream-vad.gguf |
Stream-VAD | 2.3 MB | 568K | Streaming (no lookahead) |
firered-aed-vad.gguf |
AED | 2.4 MB | 589K | Multi-label: speech/singing/music |
All variants are F32 (no quantization needed — models are already tiny).
Model details
- Architecture: DFSMN (Deep Feedforward Sequential Memory Network) — 8 blocks with depthwise lookback/lookahead convolutions (k=20)
- Parameters: ~588K (2.4 MB)
- Languages: 100+ (language-agnostic voice activity detection)
- F1 Score: 97.57% on FLEURS-VAD-102 (outperforms Silero-VAD, TEN-VAD, FunASR-VAD, WebRTC-VAD)
- License: Apache 2.0
Conversion
python models/convert-firered-vad-to-gguf.py --input FireRedTeam/FireRedVAD --variant VAD --output firered-vad.gguf
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FireRedTeam/FireRedVAD