firered-vad (Vokra GGUF)

Converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.

This is a conversion, not a new model. The weights are the upstream ones; Vokra re-packages them so its runtime can memory-map them directly. Credit for the model belongs upstream — see Source below.

Files

File	Size	SHA-256
firered-vad.gguf	2.2 MB	914285fc33fdf15b00035be7307cfe65467d0444b8b8eb8b3414c8933b2a6d45

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o firered-vad.gguf \
  https://huggingface.co/vokra/firered-vad/resolve/main/firered-vad.gguf

vokra-cli run --model firered-vad.gguf --input input.wav

Provenance

Field	Value
Architecture	firered_vad
Tensors	45
Upstream source	FireRedTeam/FireRedVAD (transformer-based streaming VAD, apache-2.0)
Upstream licence	apache-2.0
Licence class	permissive
Registry model id	firered-vad
Vokra GGUF schema	1
Converted by	vokra-core 0.1.0-alpha.0

Every row above is read out of this file's own vokra.* metadata, so the card cannot claim something the artifact does not carry.

Licence

The weights are distributed under apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

shasum -a 256 firered-vad.gguf
# expect: 914285fc33fdf15b00035be7307cfe65467d0444b8b8eb8b3414c8933b2a6d45