| File | Size | SHA-256 |
|---|---|---|
owsm-v4-medium-1b.gguf | 3899.3 MB | cfaf152f45ae7e6508d3d054232c3e81c6b5f77ddf697e964258a3c0b440ec0b |
1# Download (any HTTP client works — the file is a plain GGUF)
2curl -L -o owsm-v4-medium-1b.gguf \
3 https://huggingface.co/vokra/owsm-v4-medium-1b/resolve/main/owsm-v4-medium-1b.ggufvokra-cli run --model owsm-v4-medium-1b.gguf --input input.wav| 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 |
vokra.* metadata, so the card cannot claim something the artifact does not carry.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
vokra_model_attribution (C ABI) and a CLI banner.1shasum -a 256 owsm-v4-medium-1b.gguf
2# expect: cfaf152f45ae7e6508d3d054232c3e81c6b5f77ddf697e964258a3c0b440ec0b