NVIDIA releases Nemotron 3.5 Transcribe, an open-weight promptable speech model for transcription, translation and speaker attribution in 40 languages
On October 28 NVIDIA released Nemotron 3.5 Transcribe (30B-A4B), an open-weight, promptable speech model on Hugging Face and ModelScope. One checkpoint covers transcription in 40 languages, translation to or from English in 31, speaker attribution in 13 and audio Q&A. NVIDIA also opened the Granary v2 dataset and tuning tools, and says it tops open-weight models on the Open ASR English board.
Why it matters
It folds transcription, translation and diarization into one promptable open-weight model that runs on a single NVIDIA GPU, with public data and tools to adapt it to specialist domains.
Sources3
NVIDIA (Hugging Face blog)Official · BlogNVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and AdaptView original · via Hugging Face · - @NVIDIAAIOfficial · XMeet NVIDIA Nemotron 3.5 Transcribe 🎙️ An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint. Watch it keep track of who said what when everyone’s talking at once. 1/ 🧵View original ·
TechCrunchMediaVoice AI in vogue: Nvidia releases new open transcription modelView original ·
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