| --- |
| license: apache-2.0 |
| base_model: openai/whisper-base |
| tags: [whisper, whisper.cpp, ggml, automatic-speech-recognition, windyword, mobile, quantized] |
| library_name: whisper.cpp |
| --- |
| |
| # Windy Lite — ggml q5_1 (mobile build) |
| |
| **Windstorm Labs is the origin of record for this artifact.** It is created |
| here and promoted downstream; it is never edited anywhere else. |
| |
| `whisper.cpp` / `whisper.rn` build of Windy Lite, quantized to **q5_1** so it runs |
| on phones and tablets. |
| |
| | | | |
| |---|---| |
| | File | `ggml-windy-lite-q5_1.bin` | |
| | Size | **59.7 MB** | |
| | SHA-256 | `53aaa0467a2ecfe93692a870a41c52394bc3f17955245553fab66e3b05621ccf` | |
| | Quantization | q5_1 | |
| | Languages | **multilingual** | |
| | Certified WER | 9.06% (grade A) | |
| |
| ## Lineage |
| |
| | Stage | Value | |
| |---|---| |
| | Upstream base | [`openai/whisper-base`](https://huggingface.co/openai/whisper-base) (74M params, MIT) | |
| | Windy fine-tune | LoRA, merged — Clinic patient `windy-lite` | |
| | Converted from | [`WindyWord/listen-windy-lite`](https://huggingface.co/WindyWord/listen-windy-lite) @ `11ef4da092108720ac3a3df147d58b326e899677` | |
| | Converter | `whisper.cpp` @ `2ca53bb45e38`, `models/convert-h5-to-ggml.py` -> `whisper-quantize q5_1` | |
| | Built on | Veron-1-5090, 2026-08-01 | |
|
|
| ## Promotion path |
|
|
| `WindstormLabs` (here, origin) -> `WindyWord` (product) -> `WindyWordMobileApp` (mobile). |
|
|
| Downstream copies are **push-only**. Fix weights here, never downstream. |
|
|
| ## Honesty note |
|
|
| Distinct weights from upstream (different SHA-256). On short clean English |
| clips the smaller models can be indistinguishable from stock Whisper — a |
| formal bake-off has **not** been run. Do not claim quality gains without one. |
|
|
| Clinic patient file: `sneakyfree/Windy-Clinic` -> `stt-models/windy-lite.json` |
|
|
| ## Licence |
|
|
| Upstream base is **apache-2.0** on Hugging Face, verified against the source repo we converted from. Note OpenAI's Whisper *GitHub* repo states MIT while its HF model cards state Apache-2.0; we follow the HF distribution point, since that is what we actually pulled. Windy weights are a derivative and are distributed under the same terms, with attribution upstream. |
|
|
