Swiss German Whisper Ggml

--- license: cc-by-nc-4.0 base_model: Flurin17/whisper-large-v3-turbo-swiss-german language: - gsw - de library_name: whisper.cpp pipeline_tag: automatic-speech-recognition tags: - whisper.cpp - ggml - swiss-german - schweizerdeutsch - speech-to-text - asr --- # Swiss German Whisper — GGML build (unofficial) Ready-to-use [whisper.cpp](https://github.com/ggml-org/whisper.cpp) / **GGML** build of a Swiss German speech-to-text model. Transcribe Swiss German audio into written Standard German **locally on a Mac** — no cloud, no API key. > **This is a format conversion, not a new model.** I did not train it. The weights are > Flurin17's fine-tune of OpenAI Whisper `large-v3-turbo`; this repo only converts them to > the GGML format that Mac apps like MacWhisper can load. Full credit below. ## ⚠️ License: non-commercial (CC-BY-NC-4.0) Inherited from the source model. Free for **personal / non-commercial** use with attribution. **No commercial use.** Commercial use requires separate permission from the original author (Flurin17). ## Files | File | Size | Use it if… | sha256 | |---|---|---|---| | `ggml-model.bin` | 1.5 GB | best quality (fp16) | `e147fd5c5979a260b5ce3e0bff493918b14af58101f12cee9620f7f067e347c4` | | `ggml-model-q5_0.bin` | 547 MB | older Mac / less RAM (quantized) | `2d56e773724a247360067b527417842b81d25ff891fed014341a6844f15ea612` | Verify after download: ```bash shasum -a 256 ggml-model.bin ``` ## Use it — no terminal needed (MacWhisper) 1. Download one of the `.bin` files. 2. MacWhisper → Settings → Models → **Add custom model** → pick the file. 3. Set the language to **German** and transcribe. Outputs **written Standard German** (Hochdeutsch), not dialect spelling. superwhisper and Whisper Notes load custom GGML models the same way. ## Use it from the command line (whisper.cpp) ```bash ./build/bin/whisper-cli -m ggml-model.bin -f your-audio.wav -l de ``` Audio must be 16 kHz mono WAV: ```bash ffmpeg -i input.m4a -ar 16000 -ac 1 -c:a pcm_s16le your-audio.wav ``` ## Limitations - Trained mainly on **parliamentary / read speech** — spontaneous everyday dialect and heavy accents are harder. - Outputs **Standard German**, not Swiss German spelling; use `-l de`, not `--translate`. - Like all Whisper models it can **hallucinate on silence or noise**. - Accuracy varies by dialect. Measure it on your own audio. ## Model details - Ba...