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vokra/deberta-v2-large-japanese-char-wwm
deberta-v2-large-japanese-char-wwm 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 cc-by-sa-4.0.
Converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
Downloads · 30 days
14
26% of all-time downloads
All-time downloads
54
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.gguf1.6 GB · 100%
From the Hugging Face model README
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 |
|---|---|---|
deberta-v2-large-japanese-char-wwm.gguf | 1479.6 MB | c74f2b6594e5837e5fe49318ec4a2e13bed76e32529e761c21260528be8aea1a |
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o deberta-v2-large-japanese-char-wwm.gguf \
https://huggingface.co/vokra/deberta-v2-large-japanese-char-wwm/resolve/main/deberta-v2-large-japanese-char-wwm.gguf
vokra-cli run --model deberta-v2-large-japanese-char-wwm.gguf --input input.wav
| Field | Value |
|---|---|
| Architecture | deberta_v2 |
| Tensors | 459 |
| Upstream source | ku-nlp/deberta-v2-large-japanese-char-wwm |
| Upstream licence | cc-by-sa-4.0 |
| Licence class | copyleft |
| Registry model id | deberta-v2-large-japanese-char-wwm |
| 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 cc-by-sa-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
This weight is cc-by-sa-4.0, and that licence is not discharged by attribution alone. It attaches to derivatives.
shasum -a 256 deberta-v2-large-japanese-char-wwm.gguf
# expect: c74f2b6594e5837e5fe49318ec4a2e13bed76e32529e761c21260528be8aea1a