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nvidia/nemotron-3.5-asr-streaming-0.6b
at a 1120 ms chunk size, exported with the official
k2-fsa/sherpa-onnx export_onnx.py.encoder.onnx + encoder.data, decoder.onnx, joiner.onnx) for best accuracy,
alongside the *.int8.onnx variants.prompt_index
input; the encoder metadata carries prompt_dictionary (100+ languages → prompt id)
and auto_prompt_id (101 = whole-utterance auto-detect). Used by
WinSTT.