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README.md

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+---
+license: mit
+language:
+- en
+pipeline_tag: automatic-speech-recognition
+tags:
+- audio
+- speech-recognition
+- transcription
+- gguf
+- moonshine
+- lightweight
+library_name: ggml
+base_model: UsefulSensors/moonshine-tiny
+---
+
+# Moonshine Tiny -- GGUF
+
+GGUF conversions and quantisations of [`UsefulSensors/moonshine-tiny`](https://huggingface.co/UsefulSensors/moonshine-tiny) for use with **[CrispStrobe/CrispASR](https://github.com/CrispStrobe/CrispASR)**.
+
+## Available variants
+
+| File | Quant | Size | Notes |
+|---|---|---|---|
+| `moonshine-tiny.gguf` | F32 | 104 MB | Full precision |
+| `moonshine-tiny-q8_0.gguf` | Q8_0 | 33 MB | High quality |
+| `moonshine-tiny-q4_k.gguf` | Q4_K | 21 MB | Best size/quality tradeoff |
+
+All variants produce correct transcription on test audio.
+
+## Model details
+
+- **Architecture:** Conv1d stem + 6L transformer encoder + 6L transformer decoder (288d, 8 heads, partial RoPE, SiLU/GELU)
+- **Parameters:** 27M
+- **Languages:** English only
+- **WER:** 4.55% (LibriSpeech clean), 11.68% (Other)
+- **Performance:** 11.2x realtime on CPU (F32)
+- **License:** MIT
+- **Source:** [moonshine.cpp](https://github.com/csexton-ua/moonshine.cpp) (MIT)
+
+## Usage with CrispASR
+
+```bash
+./build/bin/crispasr -m moonshine-tiny-q4_k.gguf -f audio.wav
+./build/bin/crispasr --backend moonshine -m moonshine-tiny-q4_k.gguf -f audio.wav -osrt
+```