whisper-medium (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-medium.gguf	2914.4 MB	5674fc56480fb45caa90a0e68fd25168de15200c58c5af20e550dfbdc3d6ecf3

Usage

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

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

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

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

Provenance

Field	Value
Architecture	whisper
Tensors	947
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-medium.gguf
# expect: 5674fc56480fb45caa90a0e68fd25168de15200c58c5af20e550dfbdc3d6ecf3