moonshine-streaming-small-gguf is an open-source automatic speech recognition (ASR) model in GGUF format for use with transcribe.cpp and similar tools. It enables developers to transcribe English audio to text efficiently on local devices. The model is suitable for building speech-to-text applications and supports quantized weights for performance.
Moonshine Streaming Small is a Voice, TTS & speech product. It focuses on transcribing spoken audio into text using an open-source speech recognition model. Moonshine Streaming Small is an open-source project aimed at developers building speech-to-text applications. The project is open source (MIT). It runs on the command line, and it can be self-hosted.
Behind Moonshine Streaming Small is Memoravox, and the product first shipped in 2026. The project is developed in the open on GitHub with 176 stars and 458 commits in the last 90 days. Across PulseGate's embedding index, Moonshine Streaming Small has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are speech-to-text, ASR model, and quantized weights.
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memoravox/moonshine-streaming-small-gguf discovered by the PulseGate indexer
