moonshine-base-ar-gguf

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

WER on the full FLEURS ar split (428 utterances), batch sizes 1 and 8, 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 [email protected]: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: Moonshine AI Community License. See the upstream model card for full terms. This repository includes the license text (LICENSE) and a NOTICE recording how these files were derived from the original.

Free for research and non-commercial use. Commercial use requires registering with Moonshine AI and is limited to organizations under US$1M annual revenue; read the license before using it. Moonshine AI releases its English and streaming models under MIT; only these legacy language fine-tunes carry this license.

Powered by Moonshine AI.

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