A browser-friendly build of nvidia/nemotron-speech-streaming-en-0.6b, a cache-aware FastConformer RNNT model with native streaming, punctuation, and capitalization. Used by Twitch Live Captions for on-device live captions. It is derived from the sherpa-onnx export csukuangfj2/sherpa-onnx-nemotron-speech-streaming-en-0.6b-560ms-2026-04-25. The encoder's MatMul weights are quantized to 4 bits with ONNX Runtime's MatMulNBitsQuantizer (block size 32, symmetric), shrinking it from 2.4 GB to 680 MB. The decoder and joiner are unchanged fp32. Earlier revisions of this repo (before this card mentioned 560 ms) contain the 1.12 s chunk build. Licensed by NVIDIA Corporation under the NVIDIA Open Model…
Independent publisher
Mja00
mja00
Models in Library2
Datasets in Library0
Models on Hugging Face2
Followers—
Compare the published evidence
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Speech recognition.
Reported licenses: other. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
A browser-friendly build of nvidia/nemotron-3.5-asr-streaming-0.6b, NVIDIA's multilingual cache-aware FastConformer RNNT with native streaming, punctuation, capitalization, and language-ID prompting (40 language-locales, 19 transcription-ready). Used by Twitch Live Captions for on-device live captions. It is derived from the sherpa-onnx export csukuangfj2/sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-2026-06-11. The encoder's MatMul weights are quantized to 4 bits with ONNX Runtime's MatMulNBitsQuantizer (block size 32, symmetric), shrinking it from 2.5 GB to 683 MB. The decoder and joiner are unchanged fp32. Auto-detection can misfire at the start of an utterance (for example, a few…