File size: 1,692 Bytes
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license: apache-2.0
base_model: openai/whisper-small
tags: [whisper, whisper.cpp, ggml, automatic-speech-recognition, windyword, mobile, quantized]
library_name: whisper.cpp
---
# Windy Core — 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-core-q5_1.bin` |
| Size | **190.1 MB** |
| SHA-256 | `924cf246d2a9773554f1546dbdc7bb272de6ec8fe6dca9a774ae60047b24ca7c` |
| Quantization | q5_1 |
## Provenance — one hop back
| | |
|---|---|
| Promoted from | [`WindstormLabs/windy-core-ggml`](https://huggingface.co/WindstormLabs/windy-core-ggml) |
| At revision | `104fb8aeb998d23748aebb30af1a389b76ce49c1` |
| Origin of record | [`WindstormLabs/windy-core-ggml`](https://huggingface.co/WindstormLabs/windy-core-ggml) @ `104fb8aeb998d23748aebb30af1a389b76ce49c1` |
| Converted from | `WindyWord/listen-windy-core` @ `0781aae8f000814b6571a4c227fad6685b04de64` |
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-core.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.
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