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vokra/whisper-base
whisper-base 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 apache-2.0.
Speech recognition model, converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
Downloads · 30 days
220
52% of all-time downloads
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.gguf291 MB · 100%
From the Hugging Face model README
Speech recognition 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 |
|---|---|---|
whisper-base.gguf | 277.4 MB | 7e774425585d6e9ba58ac5337b406522b1408ab6ff6765d2938b092aef4c8e27 |
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o whisper-base.gguf \
https://huggingface.co/vokra/whisper-base/resolve/main/whisper-base.gguf
vokra-cli run --model whisper-base.gguf --input speech.wav
# Beam search instead of greedy
vokra-cli run --model whisper-base.gguf --input speech.wav --beam-size 5
Prints the transcript. Input must be mono 16 kHz WAV.
| Field | Value |
|---|---|
| Architecture | whisper |
| Tensors | 245 |
| Upstream source | upstream distribution source (licence apache-2.0 per source) |
| Upstream licence | apache-2.0 |
| Licence class | permissive |
| Registry model id | whisper |
| 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 apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
shasum -a 256 whisper-base.gguf
# expect: 7e774425585d6e9ba58ac5337b406522b1408ab6ff6765d2938b092aef4c8e27