moonshine-base-ar: transcribe.cpp GGUF
GGUF conversions of UsefulSensors/moonshine-base-ar for use with transcribe.cpp.
Ported from upstream commit 264cc18, pinned 2026-05-12. Validated against the transformers reference at transcribe.cpp commit 90bf720 on 2026-05-12.
UsefulSensors' Moonshine base fine-tuned on Arabic. Same encoder-decoder transformer architecture as moonshine-base (62M parameters): consumes 16 kHz raw PCM via a three-layer Conv1d stem (no STFT, no mel filterbank) and emits transcript-only output. Single-language (ar); no translation, no language detection, no timestamps.
Downloads
| Quantization | Download | Size | WER (FLEURS ar test) |
|---|---|---|---|
| F32 | moonshine-base-ar-F32.gguf | 248 MB | 24.45% |
| F16 | moonshine-base-ar-F16.gguf | 132 MB | 24.45% |
| Q8_0 | moonshine-base-ar-Q8_0.gguf | 77 MB | 24.50% |
WER on the full FLEURS ar split (428 utterances), batch size 1, timestamps none. Figures without a commit were published before provenance was recorded.
Decoded with the transcribe.cpp defaults (greedy, num_beams=1, max_length=192, matching the upstream generation_config).
UsefulSensors does not publish a per-language WER number
for this variant. As a comparable baseline we ran the Transformers F32
reference (MoonshineForConditionalGeneration, fp32 on MPS) on the
same manifest: 24.51% WER. The C++ F32/F16 numbers
above match the reference within bootstrap-CI noise; Q8_0 introduces
a small additional drift from F16 (typically within 0.1pp).
Usage
Build transcribe.cpp from source:
git clone git@github.com:handy-computer/transcribe.cpp.git
cd transcribe.cpp
cmake -B build && cmake --build build
Run on a 16 kHz mono WAV:
build/bin/transcribe-cli \
-m moonshine-base-ar-Q8_0.gguf \
input.wav
If your audio isn't already 16 kHz mono WAV, convert it first:
ffmpeg -i input.mp3 -ar 16000 -ac 1 output.wav
See the transcribe.cpp model page for performance numbers, numerical validation, and reproduction steps.
License
Inherited from the base model: MIT. See the upstream model card for full terms.
Original Model Card
The section below is reproduced from UsefulSensors/moonshine-base-ar at commit
264cc18for offline reference. The upstream card is the authoritative source.
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