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vokra/bicodec
bicodec 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 cc-by-nc-sa-4.0.
Converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
Downloads · 30 days
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40% of all-time downloads
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.gguf625 MB · 100%
From the Hugging Face model README
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 |
|---|---|---|
model.gguf | 596.5 MB | ed0ba92cac023a4bc8cb20d9c8328272e03336c9b9da0dfe1c97ec2f41092f84 |
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
https://huggingface.co/vokra/bicodec/resolve/main/model.gguf
vokra-cli run --model model.gguf --input input.wav
| Field | Value |
|---|---|
| Architecture | bicodec |
| Tensors | 840 |
| Upstream source | SparkAudio/Spark-TTS-0.5B (cc-by-nc-sa-4.0; research-only, share-alike) |
| Upstream licence | cc-by-nc-sa-4.0 |
| Licence class | non-commercial-share-alike |
| Registry model id | spark-tts-bicodec |
| Vokra GGUF schema | 1 |
| Converted by | vokra-core 0.3.0 |
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 cc-by-nc-sa-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
This weight is cc-by-nc-sa-4.0, and that licence is not discharged by attribution alone. It attaches to derivatives.
The upstream weight is cc-by-nc-sa-4.0. It is republished here so the model can be evaluated and used for research, and the licence is unchanged by conversion.
shasum -a 256 model.gguf
# expect: ed0ba92cac023a4bc8cb20d9c8328272e03336c9b9da0dfe1c97ec2f41092f84