NVIDIA
Nemotron Cascade 2 30B A3B
前沿
Mar 2026发布日期262K tokens上下文NVIDIA Open Model License许可证88 优秀质量
Nemotron Cascade 2 30B A3B (30B parameters) requires approximately 23.0 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 27 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Nemotron Cascade 2 30B A3B on your machine.
Run
ollama run nemotron-cascade-2Quick specs
Parameters30B (3B active)
Architecturemoe (MoE)
Context262K tokens
Modalitytext
Min RAM11.7 GB
Rec. RAM18.3 GB (Q4_K_M)
LicenseNVIDIA Open Model License
FamilyNemotron
✓ Code✓ Chat✓ Reasoning
About this model
- •MoE: 30B total / 3B active — runs on single RTX 4090
- •Mamba-2 + Transformer hybrid architecture
- •Gold medal IMO 2025, IOI 2025, ICPC 2025
- •92.4% AIME 2025, 87.2% LiveCodeBench v6
- •262K context window
- •Thinking + instruct dual mode
相关模型
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最佳硬件
Nemotron Cascade 2 30B A3B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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 Cascade 2 30B A3B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench87.2%
Reasoning
MMLU-Pro79.8%
GPQA Diamond76.1%
MATH-500—
ARC Challenge—
Source: official · 2026-03-19
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights18.3 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Nemotron Cascade 2 30B A3B
另请参阅