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vokra/dac-24khz
dac-24khz is a machine learning model from vokra. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vokra. The card lists the license as mit.
Neural audio codec model, converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
Downloads · 30 days
4
18% of all-time downloads
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.gguf301 MB · 100%
From the Hugging Face model README
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.
| File | Size | SHA-256 |
|---|---|---|
dac-24khz.gguf | 287.2 MB | c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2 |
# 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.
| 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.
The weights are distributed under MIT, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
shasum -a 256 dac-24khz.gguf
# expect: c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2