owsm-v4-medium-1b (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 โ see Source below.
Files
| File | Size | SHA-256 |
|---|---|---|
owsm-v4-medium-1b.gguf |
3899.3 MB | cfaf152f45ae7e6508d3d054232c3e81c6b5f77ddf697e964258a3c0b440ec0b |
Usage
# Download (any HTTP client works โ the file is a plain GGUF)
curl -L -o owsm-v4-medium-1b.gguf \
https://huggingface.co/vokra/owsm-v4-medium-1b/resolve/main/owsm-v4-medium-1b.gguf
vokra-cli run --model owsm-v4-medium-1b.gguf --input input.wav
Provenance
| Field | Value |
|---|---|
| Architecture | owsm-v4-medium-1b |
| Tensors | 1172 |
| Upstream source | espnet/owsm_v4_medium_1B (Open Whisper-style Model, ESPnet fully-open Whisper alternative, cc-by-4.0) |
| Upstream licence | cc-by-4.0 |
| Licence class | attribution-required |
| Registry model id | owsm-v4-medium-1b |
| 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 cc-by-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
Attribution required
This application uses the ESPnet OWSM v4 medium 1B model (Open Whisper-style Model, fully-open Whisper alternative trained on 320k h of multilingual speech). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) ESPnet Community. Source: https://huggingface.co/espnet/owsm_v4_medium_1B
This licence obliges you to display the attribution above when you ship something built on these weights. Vokra surfaces it at runtime via vokra_model_attribution (C ABI) and a CLI banner.
Verifying this file
shasum -a 256 owsm-v4-medium-1b.gguf
# expect: cfaf152f45ae7e6508d3d054232c3e81c6b5f77ddf697e964258a3c0b440ec0b
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We're not able to determine the quantization variants.