👁 NVIDIA
NVIDIA
Nemotron 3 Nano 30B
Frontier
Jun 2025Released131K tokensContextNVIDIA Open ModelLicense93 ExceptionalQuality
Nemotron 3 Nano 30B (30B parameters) requires approximately 22.5 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Nemotron 3 Nano 30B on your machine.
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ollama run nemotron-nano:30bQuick specs
Parameters30B
Architecturedense
Context131K tokens
Modalitytext
Min RAM11.7 GB
Rec. RAM18.3 GB (Q4_K_M)
LicenseNVIDIA Open Model
FamilyNemotron
✓ Code✓ Chat✓ Reasoning
About this model
- •Strong reasoning — competitive with 70B-class models on key benchmarks
- •Fits on RTX 4090 / RTX 5090 at Q4_K_M
- •Agentic and tool-use capabilities
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | — |
Q3_K_S | 3 | 14.7 GB | Low | — |
NVFP4 | 4 | 16.8 GB | Medium | — |
Q4_K_M | 4 | 18.3 GB | Medium | — |
Q5_K_M | 5 | 21.6 GB | High | — |
Q6_K | 6 | 24.6 GB | High | — |
Q8_0 | 8 | 32.1 GB | Very High | — |
F16 | 16 | 61.5 GB | Maximum | — |
Quality benchmarks
Nemotron 3 Nano 30B benchmark scores
Reasoning
MMLU-Pro78.3%
GPQA Diamond73.0%
MATH-500—
ARC Challenge—
Source: official · 2025-12-25
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights18.3 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Nemotron 3 Nano 30B
See also