whisper-large-v3 (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
model.gguf	2944.5 MB	0672cf5550da1eab3209f7eb4c84182be38e1269f88d83eead9e643d758b7fe3

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/whisper-large-v3/resolve/main/model.gguf

vokra-cli run --model model.gguf --input speech.wav

# Beam search instead of greedy
vokra-cli run --model model.gguf --input speech.wav --beam-size 5

Prints the transcript. Input must be mono 16 kHz WAV.

Provenance

Field	Value
Architecture	whisper
Tensors	1259
Upstream source	openai/whisper (MIT) — OpenAI official release
Upstream licence	MIT
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 MIT, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

shasum -a 256 model.gguf
# expect: 0672cf5550da1eab3209f7eb4c84182be38e1269f88d83eead9e643d758b7fe3