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GigaAM-Multilingual

GigaAM Multilingual is a family of Conformer-based foundation models (220M / 600M parameters) pre-trained with a HuBERT-style objective on 2M hours of speech across 70+ languages and fine-tuned for speech recognition with character-wise CTC decoders on 50K hours.

audio → text · made by ai-sage

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About

GigaAM-Multilingual — a text model from ai-sage.

It takes audio and returns text. It was published in July 2026. The catalogue files it under transcribe. Its weights are published under MIT, so you may run it on your own machine, or buy it from whoever serves it cheapest.

Every current figure

Maker
ai-sage
Register
model
Takes
audio
Returns
text
Published
July 2026
Licence
mit

Known as 1 name

ai-sage/GigaAM-Multilingual