Autor: Jakub Rusinowski · Ostatnia aktualizacja: 6 września 2026
Model library → Nemotron 3 Nano Omni → Nemotron 3 Nano Omni 30B-A3B
30B total, 3B active per token. Accepts text, image, speech and video and returns text. All 30B must be resident — 18.9 GB at Q4_K_M, so a 24 GB card carries it — while the per-token bandwidth cost is that of a 3B model, which is why it feels far quicker than its size suggests. 260K context, NVIDIA Open Model License.
Nemotron 3 Nano Omni 30B-A3B needs about 19 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.
| Parameters | 30 Billion (3B active) |
| Context window | 260,000 |
| Architecture | Mixture-of-Experts (omni-modal: text, image, speech, video) |
| Provider | NVIDIA |
| Licence | NVIDIA Open Model License |
| Specified at | Q4_K_M |
| System RAM | 32 GB |
| Record updated | 2026-09-06 |
NVIDIA Open Model License — commercial use permitted. Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.
Modelled on a reference NVIDIA RTX 4090 (24 GB), with no KV cache (this record has no published architecture). Speed figures are ESTIMATES from the memory-bandwidth roofline described on the methodology page, not benchmarks we ran — rows marked measured come from published or reader-submitted runs. VRAM here includes the KV cache, so it reads higher than the headline figure above, which does not.
| Quant | Weights | VRAM needed | Est. speed | Fit on 24 GB |
|---|---|---|---|---|
| Q2_K | 9.9 GB | 10.7 GB | ~212 tok/s (est.) | Fits comfortably |
| Q3_K_M | 12.8 GB | 13.6 GB | ~196 tok/s (est.) | Fits comfortably |
| Q4_K_M | 18.1 GB | 18.9 GB | ~172 tok/s (est.) | Fits comfortably |
| Q5_K_M | 21.3 GB | 22.1 GB | ~160 tok/s (est.) | Tight fit |
| Q6_K | 24.6 GB | 25.4 GB | ~22 tok/s (est.) | Offloads to system RAM (slow) |
| Q8_0 | 31.9 GB | 32.7 GB | ~20 tok/s (est.) | Offloads to system RAM (slow) |
| F16 | 60.0 GB | 60.8 GB | — | Won't fit |
Want the memory numbers alone, at every quantization level and your own context length? Use the Nemotron 3 Nano Omni 30B-A3B VRAM calculator.
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The cheapest catalogued GPU that runs Nemotron 3 Nano Omni 30B-A3B is the AMD Radeon RX 7900 XT (20 GB).
Install Ollama, then run:
ollama run nemotron-3-nano-omniWeights on Hugging Face: nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16.
Best for: multimodal, video, audio, agentic tasks, reasoning.
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