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spokedotso/nemotron-3.5-asr-streaming-0.6b-8bit
nemotron-3.5-asr-streaming-0.6b-8bit is a automatic speech recognition model from spokedotso. Use it when you need speech turned into text. It is set up for mlx-audio. The card lists the license as other.
This is Spoke's pinned distribution of the 8-bit MLX conversion of nvidia/nemotron-3.5-asr-streaming-0.6b. It is a 600M-parameter, cache-aware streaming FastConformer-RNNT ASR model with language-ID prompt conditionin…
Downloads · 30 days
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From the Hugging Face model README
This is Spoke's pinned distribution of the 8-bit MLX conversion of
nvidia/nemotron-3.5-asr-streaming-0.6b.
It is a 600M-parameter, cache-aware streaming FastConformer-RNNT ASR model with
language-ID prompt conditioning, punctuation, and capitalization.
The model contains 8-bit quantized Linear and Embedding weights with group size 64. Convolution and normalization layers remain in bfloat16.
The files are mirrored from
mlx-community/nemotron-3.5-asr-streaming-0.6b-8bit at revision
7279359e4481b5e9e185a318bd618e429c6d86cd. The MLX conversion was made by
@ARahim3 with
mlx-audio.
from mlx_audio.stt import load
model = load("spokedotso/nemotron-3.5-asr-streaming-0.6b-8bit")
print(model.generate("speech.wav").text)
The trained attention profiles are [56,3], [56,0], [56,6], and
[56,13]. The [56,13] profile gives the lowest offline WER. Spoke uses the
streaming profile selected by its local runtime.
The model materials are from NVIDIA Corporation and are distributed under the
OpenMDW License Agreement 1.1. See
LICENSE and NOTICE.