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README.md

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+---
+license: apache-2.0
+language:
+- multilingual
+pipeline_tag: voice-activity-detection
+tags:
+- audio
+- vad
+- voice-activity-detection
+- gguf
+- firered
+- dfsmn
+library_name: ggml
+base_model: FireRedTeam/FireRedVAD
+---
+
+# FireRedVAD -- GGUF
+
+GGUF conversions of [`FireRedTeam/FireRedVAD`](https://huggingface.co/FireRedTeam/FireRedVAD) for use with **[CrispStrobe/CrispASR](https://github.com/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
+
+```bash
+python models/convert-firered-vad-to-gguf.py --input FireRedTeam/FireRedVAD --variant VAD --output firered-vad.gguf
+```