metadata
license: bsd-2-clause
library_name: vokra
tags:
- vokra
- gguf
smart-turn-v2 (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 |
|---|---|---|
smart-turn.gguf |
361.6 MB | cb595fcc0197f6c9bc4110eea845ece1d3b966c13c2664bb056284434d7e494e |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o smart-turn.gguf \
https://huggingface.co/vokra/smart-turn-v2/resolve/main/smart-turn.gguf
vokra-cli run --model smart-turn.gguf --input input.wav
Provenance
| Field | Value |
|---|---|
| Architecture | smart_turn |
| Tensors | 223 |
| Upstream source | pipecat-ai/smart-turn-v2 (turn detection classifier, bsd-2-clause) |
| Upstream licence | bsd-2-clause |
| Licence class | permissive |
| Registry model id | smart-turn-v2 |
| 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 bsd-2-clause, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
Verifying this file
shasum -a 256 smart-turn.gguf
# expect: cb595fcc0197f6c9bc4110eea845ece1d3b966c13c2664bb056284434d7e494e