{"omc_version":"0.1","id":"usefulsensors-moonshine-streaming-tiny","name":"Moonshine Streaming Tiny","provider":"Useful Sensors","released":null,"licence":"MIT License","url":"https://huggingface.co/usefulsensors/moonshine-streaming-tiny","description":"Moonshine Streaming Tiny is a 30-million-parameter English speech-to-text model that trades accuracy for extreme speed. It can process an hour of audio in under a second on benchmark hardware, but gets roughly one word in nine wrong overall.","modalities":["audio"],"context_window":null,"capabilities":{"transcription":1},"x_llmap_capability_sources":{"transcription":{"suite":"asr-wer","suite_name":"Open ASR WER","rank":70,"of":74,"score":11.18,"higher_is_better":false,"variant":null}},"relationships":[],"card_meta":{"created":"2026-08-01T22:45:56.603Z","created_by":"LLMap pipeline","last_updated":"2026-08-03T20:17:40.896Z","source":"https://llmap.ai/models/usefulsensors-moonshine-streaming-tiny","omc_spec":"https://github.com/openmodelcard/spec"}}