You can deploy this model and start earning money today!

vokra/
kotoba-whisper-v2.2

Name: kotoba-whisper-v2.2
Availability: InStock

vokra

gguf

apache-2.0

Views

No views yet

kotoba-whisper-v2.2 (Vokra GGUF)

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
`kotoba-whisper-v2.2.gguf`	2885.5 MB	`d2e7658f4c3c7fa1fab9872c45e51ddac0cbcde3b3388095a63b07388689658b`

Usage

bash

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o kotoba-whisper-v2.2.gguf \
  https://huggingface.co/vokra/kotoba-whisper-v2.2/resolve/main/kotoba-whisper-v2.2.gguf

vokra-cli run --model kotoba-whisper-v2.2.gguf --input input.wav

Provenance

Field	Value
Architecture	`kotoba-whisper`
Tensors	539
Upstream source	kotoba-tech/kotoba-whisper-v2.0 (Apache-2.0) — Kotoba Technologies Japanese-distilled Whisper
Upstream licence	`Apache-2.0`
Licence class	`permissive`
Registry model id	`kotoba-whisper-v2.0`
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

bash

shasum -a 256 kotoba-whisper-v2.2.gguf
# expect: d2e7658f4c3c7fa1fab9872c45e51ddac0cbcde3b3388095a63b07388689658b