dac-24khz (Vokra GGUF)

Neural audio codec model, 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
dac-24khz.gguf	287.2 MB	c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o dac-24khz.gguf \
  https://huggingface.co/vokra/dac-24khz/resolve/main/dac-24khz.gguf

# This artifact is consumed by another engine rather than run
# standalone — see the Vokra docs for the CODEC pipeline.

Provenance

Field	Value
Architecture	dac
Tensors	558
Upstream source	descriptinc/descript-audio-codec GitHub release (prepared via dac_prepare_checkpoint.py)
Upstream licence	MIT
Licence class	permissive
Registry model id	dac
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 MIT, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

shasum -a 256 dac-24khz.gguf
# expect: c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2