---
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 app 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-edge-q5_1.bin` |
| Size | **584.6 MB** |
| SHA-256 | `6b225f4bcd02a6aedc4b3a810cd34a0028350b0550f0e794d144cdee61353583` |
| Quantization | q5_1 |

## Provenance — one hop back

| | |
|---|---|
| Promoted from | [`WindyWord/windy-edge-ggml`](https://huggingface.co/WindyWord/windy-edge-ggml) |
| At revision | `b30e6f226a4c309222fed884573e961c2a46dd20` |
| Origin of record | [`WindstormLabs/windy-edge-ggml`](https://huggingface.co/WindstormLabs/windy-edge-ggml) @ `bc54626d5e0eb633bfdc78f62c088a3422268c8c` |
| Converted from | `WindyWord/listen-windy-edge` @ `9566640871ed5f9fc2c4cf8001d9064a8def3b8b` |

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-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.