audiobox-aesthetics (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 |
|---|---|---|
audiobox-aesthetics.gguf |
396.2 MB | 1fbccc854cfcae56b5554ab4b8d67d8cc25b9c793821f8e738cbbace40b0e9dd |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o audiobox-aesthetics.gguf \
https://huggingface.co/vokra/audiobox-aesthetics/resolve/main/audiobox-aesthetics.gguf
vokra-cli run --model audiobox-aesthetics.gguf --input input.wav
Provenance
| Field | Value |
|---|---|
| Architecture | audiobox-aesthetics |
| Tensors | 324 |
| Upstream source | facebook/audiobox-aesthetics (wav2vec2 backbone + 5-dim quality regression, cc-by-4.0) |
| Upstream licence | cc-by-4.0 |
| Licence class | attribution-required |
| Registry model id | audiobox-aesthetics |
| 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 cc-by-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
Attribution required
This application uses the Audiobox Aesthetics model (wav2vec2 SSL backbone + 5-layer projection MLP head predicting BALANCED / CONTENT_ENJOYMENT / CONTENT_USEFULNESS / PRODUCTION_COMPLEXITY / PRODUCTION_QUALITY audio-quality axes; arXiv:2502.05139). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) Meta / Facebook AI Research. Source: https://github.com/facebookresearch/audiobox-aesthetics / https://huggingface.co/facebook/audiobox-aesthetics
This licence obliges you to display the attribution above when you ship something built on these weights. Vokra surfaces it at runtime via vokra_model_attribution (C ABI) and a CLI banner.
Verifying this file
shasum -a 256 audiobox-aesthetics.gguf
# expect: 1fbccc854cfcae56b5554ab4b8d67d8cc25b9c793821f8e738cbbace40b0e9dd
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We're not able to determine the quantization variants.