NVIDIA · nemotron_h_moe
Can I run nemotron-3-super?
NVIDIA Nemotron 3 Super is a 120B open MoE model activating just 12B parameters to deliver maximum compute efficiency and accuracy for complex multi-agent applications.
123.6B parameters256K contexttextNVIDIA Software and Model Evaluation License2 builds
nemotron-3-super system requirements
Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.
| Build | Quantization | Download | Memory needed |
|---|---|---|---|
| nemotron-3-super:120b | Q4_K_M | 80.9 GB | ~116.0 GB(est.) |
| nemotron-3-super:120b-a12b-q8_0 | Q8_0 | 122.6 GB | ~175.7 GB(est.) |
Figures marked (est.) approximate the KV cache because this model's architecture details are not published. They are indicative rather than exact.
How to run nemotron-3-super locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Run this in a terminal:
ollama run nemotron-3-super:120b - 3.The weights download on first run, then an interactive prompt opens.
Frequently asked questions about nemotron-3-super
- How much VRAM do I need to run nemotron-3-super?
- At 4K context, the smallest published build of nemotron-3-super (Q4_K_M) needs roughly 116.0 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
- Can I run nemotron-3-super without a dedicated GPU?
- Yes, but slowly. Without a GPU the model runs on the CPU using system RAM, which usually means a few tokens per second rather than dozens. You would need at least 116.0 GB of free RAM for the smallest build.
- How big is the nemotron-3-super download?
- The smallest published build is 80.9 GB. There are 2 builds in total, the largest being 122.6 GB. Leave some extra free disk space beyond the download itself.
- How do I run nemotron-3-super locally?
- Install Ollama, then run "ollama run nemotron-3-super:120b" in a terminal. The weights download on first use and an interactive session opens.
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Model data from the official Ollama registry · verified 13/09/2026