GoodnotesLtd/nemotron-3.5-asr-streaming-0.6b-windows-onnx
automatic-speech-recognition model by GoodnotesLtd
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Model card & documentation
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This repository contains Goodnotes-built, fixed-shape ONNX representations of NVIDIA Nemotron 3.5 ASR Streaming Multilingual 0.6B for the direct C++ Windows runtime in @goodnotesglobal/parakeet-windows-node. The immutable source checkpoint and tool versions are recorded in manifest.json. portable-fp16 serves Windows x64 accelerators and CPU recovery. qnn-w8a16-hybrid quantizes the encoder and joiner for Qualcomm HTP while retaining the fused LSTM decoder in FP32 on CPU. portable-fp32 is an explicit evaluation-only export and is omitted from production publications. The default streaming window is 560 ms. The pinned checkpoint was trained for 80, 320, 560, and 1,120 ms cache-aware attention contexts; the exporter rejects other sizes. In particular, the separately qualified 2,240 ms Apple model configuration is not a valid Windows ONNX export target for this checkpoint. Compare any supported candidate with 560 ms on identical manifests before promotion. On Windows ARM64, the candidate is…
Read the full model card ↗ · Preview checked 2026-10-31T00:09:04.947Z
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Model overview
GoodnotesLtd/nemotron-3.5-asr-streaming-0.6b-windows-onnx is a automatic-speech-recognition model repository published by GoodnotesLtd on Hugging Face. The source reports the onnxruntime library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- onnxruntime
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-16T06:06:47.000Z
- Last modified
- 2026-09-16T06:06:55.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: nvidia/nemotron-3.5-asr-streaming-0.6b
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-16T06:34:51.485Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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