Can I Run Nemotron 3 Nano Omni 30B A3B Reasoning BF16 on a NVIDIA RTX 5090?
Runs comfortably at Q6_K — minimal quality loss.
3 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 25.7 GB | 27.2 GB | 24.7 GB | +6.3 GB |
| Q5_K_M | 22.3 GB | 23.8 GB | 21.3 GB | +9.7 GB |
| Q4_K_M | 19.2 GB | 20.7 GB | 18.2 GB | +12.8 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 32.0GB.
FAQ
Can the NVIDIA RTX 5090 run Nemotron 3 Nano Omni 30B A3B Reasoning BF16?
Yes. The NVIDIA RTX 5090's 32.0GB of VRAM is enough to run Nemotron 3 Nano Omni 30B A3B Reasoning BF16 at Q6_K quantization (25.7GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 32.0GB. It uses about 25.7GB of memory and 27.2GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.