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bumpyclock/nemotron-speech-streaming-en-0.6b-int8
nemotron-speech-streaming-en-0.6b-int8 is a automatic speech recognition model from bumpyclock. Use it when you need speech turned into text. It is set up for parakeet-rs. The card lists the license as other.
Weight-only int8 quantization of the encoder of NVIDIA's nemotron-speech-streaming-en-0.6b (English FastConformer encoder + fused RNN-T decoder/joint, with punctuation & capitalization), packaged for the parakeet-rs O…
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Updated Jun 19, 2026
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From the Hugging Face model README
Weight-only int8 quantization of the encoder of NVIDIA's
nemotron-speech-streaming-en-0.6b
(English FastConformer encoder + fused RNN-T decoder/joint, with punctuation & capitalization),
packaged for the parakeet-rs ONNX runtime.
MatMulInteger / DynamicQuantizeLinear);
Conv and other tensors stay FP32 to avoid ConvInteger kernel gaps, and the fused
decoder_joint + tokenizer are unchanged.processed_signal in, encoded out), so it is a drop-in for
runtimes that load the FP32 export. Streaming framing is unchanged (560 ms).| file | precision | notes |
|---|---|---|
encoder.onnx (+ .data) | int8 (MatMul) | cache-aware streaming FastConformer encoder |
decoder_joint.onnx | fp32 | fused RNN-T prediction net + joint (verbatim copy) |
tokenizer.model | — | SentencePiece (verbatim copy) |
nvidia/nemotron-speech-streaming-en-0.6b (NVIDIA Open Model License).altunenes/parakeet-rs
(subdir nemotron-speech-streaming-en-0.6b).onnxruntime.quantization.quantize_dynamic
(op_types_to_quantize=['MatMul'], weight_type=QInt8, per_channel=True).NVIDIA Open Model License Agreement:
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/.
The upstream NVIDIA license governs the weights regardless of export or quantization source.
See NOTICE.txt.