metadata
license: mit
language:
- en
pipeline_tag: automatic-speech-recognition
tags:
- audio
- speech-recognition
- transcription
- gguf
- moonshine
- streaming
- lightweight
library_name: ggml
base_model: UsefulSensors/moonshine-streaming-tiny
Moonshine Streaming Tiny -- GGUF
GGUF conversions and quantisations of UsefulSensors/moonshine-streaming-tiny for use with CrispStrobe/CrispASR.
Available variants
| File | Quant | Size | Notes |
|---|---|---|---|
moonshine-streaming-tiny.gguf |
F32 | 168 MB | Full precision |
moonshine-streaming-tiny-q4_k.gguf |
Q4_K | 31 MB | Quantized |
Model details
- Architecture: Streaming encoder-decoder ASR. Raw-waveform audio frontend (no mel) + sliding-window transformer encoder (6L, 320d) + autoregressive transformer decoder (6L, 320d, SiLU-gated MLP, partial RoPE)
- Parameters: 34M
- Languages: English
- License: MIT
- Source:
UsefulSensors/moonshine-streaming-tiny - Designed for: Low-latency streaming ASR on edge devices
Usage with CrispASR
./build/bin/crispasr --backend moonshine-streaming -m moonshine-streaming-tiny-q4_k.gguf -f audio.wav
Notes
- Tokenizer (
tokenizer.bin) must be in the same directory as the model file - Streaming architecture: sliding-window attention with 80ms lookahead
- Audio frontend processes raw waveform (no mel spectrogram needed)