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Synaptics/moonshine-tiny-bf16-torq
moonshine-tiny-bf16-torq is a machine learning model from Synaptics. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for torq. The card lists the license as mit.
Moonshine is a high-efficiency automatic speech recognition (ASR) model designed specifically for real-time speech recognition. Unlike Whisper, which processes audio in fixed 30-second chunks, Moonshine uses a variabl…
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Updated Sep 29, 2026
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From the Hugging Face model README
Moonshine is a high-efficiency automatic speech recognition (ASR) model designed specifically for real-time speech recognition. Unlike Whisper, which processes audio in fixed 30-second chunks, Moonshine uses a variable-length architecture that only computes the actual duration of the speech received.
Useful Sensors developed Moonshine and released the English model as open-source. There are 2 models of different sizes and capabilities - base and tiny. The tiny version utilizes 27M parameters.
| Platform | Model / Stage | Environment | Inference Time | Infer / s |
|---|---|---|---|---|
| SL2610 | Moonshine Tiny Decoder | Torq v2.0.0 | 15.6 | 64.1 |
| SL2610 | Moonshine Tiny Encoder (5 sec audio) | Torq v2.0.0 | 156.1 | 6.4 |
Torq compiled model files are provided in this repository. To recompile the models, see the Torq Documentation.
The source model files are available at Synaptics/Moonshine.
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Both the source model and the compiled model for on-device deployment are licensed under MIT License.