nvidia / automatic-speech-recognition updated 1 month ago

nemotron-speech-streaming-en-0.6b

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Params
618 M
Context
Downloads 30d
419 K
Likes
624
Licence: other Not gated GGUF · SAFETENSORS View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (4 recorded)
419 K downloads in the last 30 days

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
nemotron-speech-streaming-en-0.6b.q8_0.gguf Q8_0 0.7 GB 1.4 GB ✅ Runs comfortably
model.safetensors f32 2.5 GB 3.3 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture
NemotronAsrStreamingForRNNT
Parameters
618 M
Tensor type
F32
Vocabulary
1,025
Licence
other
First seen on the Hub
2025-12-17
Training datasets
nvidia/Granary, YTC, Yodas2, LibriLight, librispeech_asr, fisher_corpus, Switchboard-1, WSJ-0, WSJ-1, National-Singapore-Corpus-Part-1, National-Singapore-Corpus-Part-6, vctk, voxpopuli, europarl, multilingual_librispeech, fleurs, mozilla-foundation/common_voice_8_0, MLCommons/peoples_speech, google/speech_commands
AMI (reported)
11.73
TEDLIUM (reported)
3.5
VoxPopuli (reported)
7.97
Earnings22 (reported)
12.52
Gigaspeech (reported)
9.66
SPGI Speech (reported)
2.97
LibriSpeech test-clean (reported)
2.32
LibriSpeech test-other (reported)
4.84
Added to our catalog
2026-09-18
Compare with any automatic-speech-recognition model