Moonshine Tiny (German, dattazigzag) -- GGUF
GGUF conversions and quantisations of dattazigzag/moonshine-tiny-de for use with CrispStrobe/CrispASR.
Available variants
| File | Quant | Size | Notes |
|---|---|---|---|
moonshine-tiny-de-dattazigzag-f16.gguf |
F16 | 52 MB | Half precision |
moonshine-tiny-de-dattazigzag-q4_k.gguf |
Q4_K | 17 MB | Best size/quality tradeoff |
Model details
- Architecture: Conv1d stem + 6L transformer encoder + 6L transformer decoder (288d, 8 heads, partial RoPE, SiLU/GELU)
- Parameters: 27M
- Languages: German (fine-tuned from English moonshine-tiny)
- WER: 36.7% on MLS German test set
- Training data: MLS German (~1,967 hours), 10k steps
- Output: Lowercase only, no punctuation
- License: MIT (inherited from upstream)
- Source:
dattazigzag/moonshine-tiny-de
Usage with CrispASR
# Explicit model path
./build/bin/crispasr --backend moonshine -m moonshine-tiny-de-dattazigzag-q4_k.gguf -f audio.wav
Notes
- Moonshine models run on CPU only (GPU not needed for these small models)
- Tokenizer (
tokenizer.bin) must be in the same directory as the model file - For better German quality, consider
moonshine-base-de-fidoriel(6.9% WER) ormoonshine-tiny-de-fidoriel(11.4% WER)