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lokkju/nemotron-speech-streaming-en-0.6b-int4
nemotron-speech-streaming-en-0.6b-int4 is a machine learning model from lokkju. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Quantized ONNX model for streaming speech recognition, derived from altunenes/parakeet-rs (nemotron-speech-streaming-en-0.6b).
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Updated Jan 30, 2026
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From the Hugging Face model README
Quantized ONNX model for streaming speech recognition, derived from altunenes/parakeet-rs (nemotron-speech-streaming-en-0.6b).
Weight-only int4 quantization (onnxruntime MatMul4BitsQuantizer)
| File | Description |
|---|---|
encoder.onnx | Quantized encoder (stateful, cache-aware streaming) |
decoder_joint.onnx | Quantized decoder + joint network |
tokenizer.model | SentencePiece tokenizer (unchanged from source) |
These models are designed for use with parakeet-rs
or compatible ONNX Runtime inference pipelines. The encoder is stateful with cache tensors
for streaming inference (cache_last_channel, cache_last_time, cache_last_channel_len).
Quantized from the ONNX models in altunenes/parakeet-rs
subdirectory nemotron-speech-streaming-en-0.6b/.