deepfilternet3 (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 โ see Source below.
Files
| File | Size | SHA-256 |
|---|---|---|
dfn3.gguf |
8.2 MB | 448c391760a5bc7e6acb63698796dadc959c7439cd2fb56cca59e0bdd7a68b1e |
Usage
# Download (any HTTP client works โ the file is a plain GGUF)
curl -L -o dfn3.gguf \
https://huggingface.co/vokra/deepfilternet3/resolve/main/dfn3.gguf
vokra-cli run --model dfn3.gguf --input input.wav
Provenance
| Field | Value |
|---|---|
| Architecture | denoise |
| Tensors | 115 |
| Upstream source | Rikorose/DeepFilterNet (MIT OR Apache-2.0) |
| Upstream licence | MIT OR Apache-2.0 |
| Licence class | permissive |
| Registry model id | deepfilternet3 |
| 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 OR Apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
The Hugging Face
license:tag is set tootherbecauseMIT OR Apache-2.0is not one of Hugging Face's accepted tag values. The authoritative licence is the one named above and reproduced in theLICENSEfile โ not the tag.
Verifying this file
shasum -a 256 dfn3.gguf
# expect: 448c391760a5bc7e6acb63698796dadc959c7439cd2fb56cca59e0bdd7a68b1e
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We're not able to determine the quantization variants.