GGUF build of FunASR's
FSMN-VAD for the zero-Python, CPU/edge
FunASR llama.cpp runtime. Native ggml voice-activity detection: segment long audio entirely in C++, no Python at runtime.
These are GGUF weights for the
FunASR llama.cpp runtime — a whisper.cpp-style, single self-contained binary for CPU / edge. Grab a prebuilt binary, then fetch this model and run:
1bash download-funasr-model.sh fsmn-vad ./gguf
2# fsmn-vad is the VAD used by the ASR runtimes via --vad (see the SenseVoice / Paraformer / Fun-ASR-Nano GGUF repos)
1llama-funasr-sensevoice -m sensevoice-small.gguf -a long.wav --vad fsmn-vad.gguf
2llama-funasr-cli --enc funasr-encoder-f16.gguf -m qwen3-0.6b-q8_0.gguf -a long.wav --vad fsmn-vad.gguf
