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GoodnotesIT/nemotron-3.5-asr-streaming-multilingual-0.6b-litert-fp16
nemotron-3.5-asr-streaming-multilingual-0.6b-litert-fp16 is a automatic speech recognition model from GoodnotesIT. Use it when you need speech turned into text. It is set up for litert. The card lists the license as other.
Goodnotes-owned LiteRT export of nvidia/nemotron-3.5-asr-streaming-0.6b from the checksum-pinned NVIDIA .nemo checkpoint.
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.tflite20.5 GB · 100%
From the Hugging Face model README
Goodnotes-owned LiteRT export of
nvidia/nemotron-3.5-asr-streaming-0.6b
from the checksum-pinned NVIDIA .nemo checkpoint.
portable/: FP16 weights with FP32 I/O for on-device NPU, GPU, then CPU JIT fallback.aot/<vendor>/<SoC>/encoder.tflite: AOT encoder candidates for mediatek/MT6878, mediatek/MT6897, mediatek/MT6983, mediatek/MT6985, mediatek/MT6989, mediatek/MT6991, qualcomm/SM8450, qualcomm/SM8550, qualcomm/SM8650, qualcomm/SM8750, qualcomm/SM8850, samsung/E9965.reports/: complete cross-compiler result, including unsuccessful vendor targets.release-manifest.json: byte lengths, SHA-256 checksums, source, and toolchain identity.Only the encoder is packaged per AOT target because it is the graph executed on the selected accelerator. Decoder and joint remain shared portable graphs. Incomplete targets are excluded and use the portable JIT chain.
Artifact revision: 03351ad96f2789192d558b7005764e58bc06f766
LiteRT exporter/compiler: 2.3.0.dev20260913
Android compatibility interpreter: 2.1.6
The portable graphs have executed successfully with representative typed inputs through the LiteRT 2.1.6 CPU interpreter. The AOT files are compiler candidates and do not claim physical-device validation. The application must retain the portable fallback and must not activate an AOT candidate until its runtime/compiler versions and target device have been validated.
The model weights and derivatives are subject to the NVIDIA Open Model License.