focalcodec-12-5hz (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
model.gguf	554.2 MB	d17de845cd25ec434d05df56e6befca0c992cb3c072d1d76c97285371c39e4cb

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/focalcodec-12-5hz/resolve/main/model.gguf

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

Provenance

Field	Value
Architecture	focalcodec
Tensors	354
Upstream source	lucadellalib/focalcodec_12_5hz (FocalCodec 12.5 Hz single-codebook audio codec, apache-2.0; base wavlm-large is MIT)
Upstream licence	apache-2.0
Licence class	permissive
Registry model id	focalcodec-12-5hz
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 model.gguf
# expect: d17de845cd25ec434d05df56e6befca0c992cb3c072d1d76c97285371c39e4cb