👁 NVIDIA
NVIDIA
Nemotron Nano 9B v2
Frontier
Jun 2025Released131K tokensContextNVIDIA Open ModelLicense70 GoodQuality
Nemotron Nano 9B v2 (9B parameters) requires approximately 9.7 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 12 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Nemotron Nano 9B v2 on your machine.
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ollama run nemotron-nano:9b-v2Quick specs
Parameters9B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.5 GB
Rec. RAM5.5 GB (Q4_K_M)
LicenseNVIDIA Open Model
FamilyNemotron
✓ Code✓ Chat✓ Reasoning
About this model
- •Improved reasoning and coding over v1
- •Switchable thinking mode for detailed step-by-step reasoning
- •Fits comfortably on 8 GB VRAM GPUs at Q4_K_M
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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 | 3.5 GB | Low | — |
Q3_K_S | 3 | 4.4 GB | Low | — |
NVFP4 | 4 | 5.0 GB | Medium | — |
Q4_K_M | 4 | 5.5 GB | Medium | — |
Q5_K_M | 5 | 6.5 GB | High | — |
Q6_K | 6 | 7.4 GB | High | — |
Q8_0 | 8 | 9.6 GB | Very High | — |
F16 | 16 | 18.5 GB | Maximum | — |
Quality benchmarks
Nemotron Nano 9B v2 benchmark scores
Coding
SWE-bench Verified—
HumanEval+58.5%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro59.4%
GPQA Diamond64.0%
MATH-50097.8%
ARC Challenge—
Source: official · 2025-09-02
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights5.5 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Nemotron Nano 9B v2
See also