LOADING DATASHEET
LOADING DATASHEET
by Nvidia
RANKED #126 OF 228 ASSISTANTS · OVERALL #204 OF 6,618 · VIBE SCORE 5.8 · 51 VOICES
NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
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26 weeks · 78 voices
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Recent vibe and chatter are both sliding.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Nemotron 3 Nano Omni (free) once and it's yours. No subscription, no rate limits, works offline.
30B total parameters with 3B active (MoE architecture), a Q4 quantized file is about 18 GB
NVIDIA GeForce RTX 3060 12GB plus 32GB System RAM
12 GB VRAM + 32 GB RAM
~$230 USEDQ4_K_M partial GPU offload, ~12 tok/s, 8k context
NVIDIA GeForce RTX 4090 24GB
24 GB VRAM
~$1,650 USEDQ4_K_M or NVFP4 full offload, ~45 tok/s, 32k context
2x NVIDIA GeForce RTX 3090 24GB
48 GB VRAM
~$1,400 USEDBF16 unquantized or FP8 full precision, ~70 tok/s, 128k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Nemotron 3 Nano Omni (free) takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB plus 32GB System RAM | SWEET SPOTNVIDIA GeForce RTX 4090 24GB | FULL POWER2x NVIDIA GeForce RTX 3090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~42 S★★★★★ | ~11 S★★★★★ | ~7 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~2.1 MIN★★★★★ | ~33 S★★★★★ | ~21 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~11 MIN★★★★★ | ~3 MIN★★★★★ | ~1.9 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~35 MIN★★★★★ | ~9.3 MIN★★★★★ | ~6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~21 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.6 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
People are mostly happy with Nemotron 3 Nano Omni (free). Biggest praise: help with code.
47 POSTS · 4 COMMENTS · REDDIT · DEV.TO · HACKER NEWS · LEMMY · GITHUB · DEV FORUMS · BLOG · X
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Other models the crowd has fully reviewed, starting with multimodal models like this one.
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some uncensored models
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I ran 8 open-weight models as agents in a persistent MMO for 10 days. Here's the 93k event dataset and some things that I learned
I benchmarked 17 local LLMs on real MCP tool calling — single-shot AND agentic loop. The difference is massive.
Why have 8B-12B models been dropped?
Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents
The Open Evaluation Standard: Benchmarking NVIDIA Nemotron 3 Nano with NeMo Evaluator
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I'm a big fan of the Nemotron project at NVIDIA. We've been working with their ASR models, the Nemotron 3 Nano/Super/Ult