| --- |
| license: other |
| license_name: mixed-upstream |
| license_link: https://github.com/strigov/babki |
| --- |
| |
| # Babki model bundles |
|
|
| Signed, self-contained model bundles for the Babki desktop transcription |
| application. The application downloads exactly the archives referenced by its |
| signed release (SHA-256 and size are pinned inside the installer); nothing here |
| is meant to be used directly. |
|
|
| ## Contents |
|
|
| | Path | What | Upstream | License | |
| |---|---|---|---| |
| | `bundles/babki-quality-cpu-v*.zip` | Quality (CPU): GigaAM v3 e2e-RNNT ONNX FP32, pyannote Community-1, closed CPU-only Python 3.11 runtime with torch 2.8.0+cpu | see below | see below | |
| | `bundles/babki-quality-gpu-v*.zip` | Quality (GPU): Community-1 voice model with its CUDA runtime; uses GigaAM and other models from the basic pack | see below | see below | |
| | `models/gigaam-v3-e2e-rnnt-onnx-fp32-v1.tar` | GigaAM v3 e2e-RNNT ONNX FP32 export | [ai-sage/GigaAM-v3](https://huggingface.co/ai-sage/GigaAM-v3), ONNX conversion [istupakov/gigaam-v3-onnx](https://huggingface.co/istupakov/gigaam-v3-onnx) | MIT | |
| | `models/pyannote-community-1.tar` | pyannote speaker-diarization-community-1 at revision `3533c8cf8e369892e6b79ff1bf80f7b0286a54ee`, unmodified | [pyannote/speaker-diarization-community-1](https://huggingface.co/pyannote/speaker-diarization-community-1) | CC-BY-4.0 (weights), MIT (pyannote.audio) | |
|
|
| Exact upstream revisions, SHA-256 values and the conversion command are in |
| the `*.artifact-release-record.json` files next to each model and inside every |
| bundle under `notices/`. The Python runtime inside the Quality bundles is |
| assembled from published wheels (PyPI and download.pytorch.org); their exact |
| filenames and SHA-256 values are listed in |
| `notices/python-wheelhouse-inventory.json`, and each wheel's own license text |
| ships in `Lib/site-packages/*.dist-info`. |
|
|
| ## Attribution |
|
|
| - GigaAM: Copyright (c) 2024 GigaChat Team. MIT. |
| - Thanks to Ilya Stupakov for the GigaAM ONNX conversion for onnx-asr. |
| Its LICENSE.txt is identical to the upstream GigaAM MIT notice above. |
| - pyannote speaker-diarization-community-1: pyannote (Hervé Bredin et al.), |
| CC-BY-4.0. No copyright notice was supplied. Offered as-is, without |
| warranties; see [Section 5 of CC BY 4.0](https://creativecommons.org/licenses/by/4.0/legalcode#s5). |
| Naming these projects does not mean that their authors or licensors endorse Babki. |
| Segmentation, embedding and PLDA files are used without modification. |
| This mirror redistributes the unmodified weights with attribution |
| as the license requires; the original gated page collects contact details |
| for the pyannote newsletter, which this mirror does not do. |
| - Silero VAD v6: Silero Team, MIT. |
| - ONNX Runtime: Microsoft, MIT. FFmpeg (LGPL build): FFmpeg team. |
| - CPython 3.11 (python-build-standalone): PSF / MPL-2.0. PyTorch: BSD-3-Clause. |
|
|
