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 (74M params, MIT) |
| Windy fine-tune | LoRA, merged — Clinic patient windy-lite |
| Converted from | 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.