---
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.