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Phonon-2 reaches 5.21% average English word error in a 164 MB model

huggingface.co Editor score 8/10

Phonon-2 uses roughly 2.1-bit learned weight levels and reports 5.21% average word error across seven English test sets, with high throughput on CPUs and an H100. Its results show the accuracy and serving-speed trade-offs possible with a compact ASR model.

What

Phonon-2 is an open English speech-recognition model with a 164 MB download.

How

Its encoder stores each weight at one of five learned levels, using about 2.1 bits per weight.

Why it matters

Its small size and reported high-speed transcription make it relevant to deploying speech recognition on CPUs and Apple silicon.

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