nemotron-3.5-asr-streaming-0.6b
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Params
640 M
Context
—
Downloads 30d
560 K
Likes
1,266
Download history
daily snapshots · 106 days
▲ 725 K in the last 30 days (56.4%)
1.3 M560 K
Oct 12Oct 22Nov 1Nov 10
1.3 M560 K
Aug 13Sep 12Oct 12Nov 10
1.3 M560 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| nemotron-3.5-asr-streaming-0.6b.q8_0.gguf | Q8_0 | 0.7 GB | 1.4 GB | ✅ Runs comfortably |
| model.safetensors | f32 | 2.6 GB | 3.4 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
- Nemotron3_5AsrForRNNT
- Parameters
- 640 M
- Tensor type
- F32
- Vocabulary
- 13,088
- Licence
- other
- First seen on the Hub
- 2026-05-15
- Training datasets
- nvidia/Granary, multilingual_librispeech, fleurs, mozilla-foundation/common_voice_8_0, voxpopuli, europarl
- FLEURS (Hindi) (reported)
- 6.81
- FLEURS (French) (reported)
- 9.03
- FLEURS (German) (reported)
- 8.31
- FLEURS (Korean) (reported)
- 7.12
- FLEURS (English) (reported)
- 7.91
- FLEURS (Italian) (reported)
- 4.25
- FLEURS (Spanish) (reported)
- 4.11
- FLEURS (Portuguese) (reported)
- 5.48
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any automatic-speech-recognition model