whisper-small (Vokra GGUF)
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.
Files
| File | Size | SHA-256 |
|---|---|---|
whisper-small.gguf |
922.6 MB | 2673feedd7822956696043e82d64e864922638e8f57f2897146411121a51b8de |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o whisper-small.gguf \
https://huggingface.co/vokra/whisper-small/resolve/main/whisper-small.gguf
vokra-cli run --model whisper-small.gguf --input speech.wav
# Beam search instead of greedy
vokra-cli run --model whisper-small.gguf --input speech.wav --beam-size 5
Prints the transcript. Input must be mono 16 kHz WAV.
Provenance
| Field | Value |
|---|---|
| Architecture | whisper |
| Tensors | 479 |
| 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.
Licence
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.
Verifying this file
shasum -a 256 whisper-small.gguf
# expect: 2673feedd7822956696043e82d64e864922638e8f57f2897146411121a51b8de