---
license: apache-2.0
base_model: openai/whisper-large-v3
tags: [whisper, whisper.cpp, ggml, automatic-speech-recognition, windyword, mobile, quantized]
library_name: whisper.cpp
---

# Windy Pro Engine — ggml q5_1 (product shelf)

**Promoted, not authored.** This artifact was created in **Windstorm Labs** and
pushed downstream unchanged. Do not edit weights here — fix them in the lab and
re-promote, or this copy becomes a lie.

| | |
|---|---|
| File | `ggml-windy-pro-engine-q5_1.bin` |
| Size | **1177.0 MB** |
| SHA-256 | `5a87af4730ddfb2ba13afeb4c8556a6c491fc831050a24b897117f44d2bc0618` |
| Quantization | q5_1 |

## Provenance — one hop back

| | |
|---|---|
| Promoted from | [`WindstormLabs/windy-pro-engine-ggml`](https://huggingface.co/WindstormLabs/windy-pro-engine-ggml) |
| At revision | `f545eeab307893a2d25c0e98019bfc90837269b3` |
| Origin of record | [`WindstormLabs/windy-pro-engine-ggml`](https://huggingface.co/WindstormLabs/windy-pro-engine-ggml) @ `f545eeab307893a2d25c0e98019bfc90837269b3` |
| Converted from | `WindyWord/listen-windy-pro-engine` @ `d3035b10b7427db8efd3d73adf6b019347642705` |

Full chain: `WindstormLabs` -> `WindyWord` -> `WindyWordMobileApp`.

The SHA-256 above must match the lab's. If it does not, this copy has drifted.

Clinic patient file: `sneakyfree/Windy-Clinic` -> `stt-models/windy-pro-engine.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.