@whitewhoadie: 🚨 NVIDIA JUST DROPPED A 0.6B CPU-ONLY SPEECH RECOGNITION MODEL Nemotron-3.5-ASR delivers real-time streaming ASR across 40+ languages — and it runs entirely on CPU. Ships with: • Only 0.6B parameters • Real-time streaming output • 2.5x faster than official Nemo runtime (same accuracy) • Fully offline capable • Easy integration into local agent pipelines Another strong small model for on-device/local AI stacks. 👉 https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b Who’s running local speech recognition today? Drop a 🔥

WHOADIE
WHOADIE
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Thursday 18 June 2026 17:48:44 GMT
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whytenation8
WhyteNation :
600 million params. now called 0.6 billion or 0.0006 trillion parameters
2026-06-19 00:18:27
201
cyberhirsch
Seb Hirsch :
why Nvidia make CPU models???
2026-06-20 07:31:46
1
nidofdanes
NidofDanes :
Nvidia really sucks at this stuff. 😂
2026-06-19 16:01:05
0
wesjofficial
wesjofficial :
If we can run it locally this could be a missing piece to the puzzle 😁
2026-06-18 18:50:21
5
kingnazty413
King Nazty413 :
yes but you need atleast 24gb if vram im wokrong on this since last week my 3080 cant handle it...
2026-06-19 09:04:13
0
kostjap
Mr. K. :
i have literally just vibecoded a speech to text app for Linux and had to use elevenlabs api to get some sane results. i guess i will beg claude to use this now
2026-07-13 14:10:40
1
vinner_vinner
vinner :
Did they copy from qwen? 😆
2026-07-27 13:21:25
0
habbomotel6
Dylan :
I put this into a language learning app for Mac. Works well! https://ndgold.com/live-linguist/release-v2
2026-06-21 00:23:35
0
jason03_jj
⎝⎝✧𝙅ᥲ𝙨ѻп✧⎠⎠ :
but pleas 0.6b is not more tahn 2 gb its fit in almost all newer gpu so wahts the point of it to be slower
2026-06-18 18:29:27
0
theccsi
The CCSI :
i like piper
2026-06-18 23:31:21
1
misteryosongliham
✨ :
How is it better than whisper
2026-06-20 04:25:32
1
drenmorina23
drenmorina23 :
Can you tell me more about this
2026-06-18 17:55:12
0
nahom..0
Nahom :
Why not just use whisper
2026-06-18 21:27:08
2
x_y2k
Trent :
I would actually be quite interested to see how these models compare to the output of a professional human Stenographer. I don't think AI should ever replace human stenographers for transcripts, especially in court settings, but it would be interesting to see how accurate these new speech recognition models are in comparison.
2026-06-19 14:24:16
1
papasmurf9026
papasmurf9026 :
Superwhisper mogs and it’s smaller
2026-06-20 16:56:45
3
honeypumpkinspice
HoneyPumpkinSpice :
I’ll check it out. I use whisper today to detect languages for subtitles. If it’s faster and as reliable then I’ll switch
2026-06-19 15:33:51
2
immppossible
iimmppoossiibbllee :
any demo video?
2026-06-18 21:52:27
0
autocomputing
Autocomputing :
Welp, guess I'll throw that in, too.
2026-07-11 08:56:08
0
gaymudgeon
Gaymudgeon :
Folks have been sleeping on the sheer volume of models Nvidia drops on the regular.
2026-07-11 02:44:48
0
3narycosm
Remoter @ Tenerife :
cool, will try on my m1 air
2026-06-30 19:29:55
0
sr._marty
Su :
i only know hoe to use opencode and ollama, im fucked xD other model type i think
2026-06-20 06:22:02
0
interpol_org
Pizzi📌 :
And there is a Google model wit 240m this isnt something new and super impressive
2026-06-19 11:08:37
0
catchmeifyoucanvx
catchmeifyoucanvx :
Best tiktoker ever
2026-06-19 07:14:16
0
lucaskpinheiro
LucasKPinheiro :
adorei a tradução por IA do tiktok, deixe todos os seus videos assim, facilita muito a compreensão 🇧🇷
2026-06-29 13:04:29
0
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