---
license: mit
base_model: distil-whisper/distil-large-v3
tags: [whisper, whisper.cpp, ggml, automatic-speech-recognition, windyword, mobile, quantized]
library_name: whisper.cpp
---

# Windy Edge — 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 Edge, quantized to **q5_1** so it runs
on phones and tablets.

| | |
|---|---|
| File | `ggml-windy-edge-q5_1.bin` |
| Size | **584.6 MB** |
| SHA-256 | `6b225f4bcd02a6aedc4b3a810cd34a0028350b0550f0e794d144cdee61353583` |
| Quantization | q5_1 |
| Languages | **ENGLISH ONLY** |
| Certified WER | 7.31% (grade A) |

## Lineage

| Stage | Value |
|---|---|
| Upstream base | [`distil-whisper/distil-large-v3`](https://huggingface.co/distil-whisper/distil-large-v3) (756M params, MIT) |
| Windy fine-tune | LoRA, merged — Clinic patient `windy-edge` |
| Converted from | [`WindyWord/listen-windy-edge`](https://huggingface.co/WindyWord/listen-windy-edge) @ `9566640871ed5f9fc2c4cf8001d9064a8def3b8b` |
| 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-edge.json`

## Licence

Upstream base is **mit** 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.