canary-1b-flash-gguf is an open source automatic speech recognition (ASR) model distributed in GGUF format. It supports multilingual speech-to-text transcription and can be used for research or integrated into ASR pipelines. Designed for developers and ML practitioners.
In the Voice, TTS & speech space, Canary 1b Flash takes a focused approach. It focuses on transcribing spoken audio into text automatically for developers and researchers. Canary 1b Flash is an open-source project aimed at machine learning researchers. The project is open source (MIT). It runs on the web and API, and it can be self-hosted.
It is developed by 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, Canary 1b Flash has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are speech recognition, multilingual support, and encoder-decoder.
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