frcrn (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
frcrn.gguf	54.9 MB	04b8810e3f9e6391d9b95158fc34a2050bcac8618a3b25deb534a1b9cd42d7b6

Usage

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

vokra-cli run --model frcrn.gguf --input input.wav

Provenance

Field	Value
Architecture	frcrn
Tensors	812
Upstream source	alibabasglab/FRCRN (Complex U-Net + frequency-recurrent LSTM, DNS Challenge 2022, apache-2.0; also distributed via modelscope/ClearerVoice-Studio)
Upstream licence	apache-2.0
Licence class	permissive
Registry model id	frcrn
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 frcrn.gguf
# expect: 04b8810e3f9e6391d9b95158fc34a2050bcac8618a3b25deb534a1b9cd42d7b6