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vokra/whisper-large-v3
whisper-large-v3 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 mit.
Speech recognition model, converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
Downloads · 30 days
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3% of all-time downloads
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.gguf3.1 GB · 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 |
|---|---|---|
model.gguf | 2944.5 MB | 0672cf5550da1eab3209f7eb4c84182be38e1269f88d83eead9e643d758b7fe3 |
# 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.
| 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.
The weights are distributed under MIT, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
shasum -a 256 model.gguf
# expect: 0672cf5550da1eab3209f7eb4c84182be38e1269f88d83eead9e643d758b7fe3