NVIDIA · nemotron_h_moe
Can I run nemotron-3-nano?
Nemotron-3-Nano is a new Standard for Efficient, Open, and Intelligent Agentic Models, now updated with a 4B parameter count model.
Parameter counts and memory belong to each build below. A family can contain several sizes and tasks; fitting in memory is not a quality ranking.
Calculate memory for a build and contextnemotron-3-nano 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-nano:4b4B parameters (tag)256K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 2.6 GB | ~6.5 GB |
| nemotron-3-nano:4b-q8_04B parameters (tag)256K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 3.9 GB | ~7.9 GB |
| nemotron-3-nano:30b30B parameters (tag)1024K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 22.6 GB | ~28.1 GB |
| nemotron-3-nano:30b-a3b-q8_030B parameters (tag)1024K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 31.3 GB | ~37.4 GB |
| nemotron-3-nano:30b-a3b-fp1630B parameters (tag)1024K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 58.8 GB | ~67.2 GB |
Showing the 5 smallest non-alias builds. Choose any build and change the context. A context above the build's documented maximum is a hypothetical calculation, not a supported setting.
How to run nemotron-3-nano locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull nemotron-3-nano:4b - 3.Check the source for the build's task. For text generation, run
ollama run nemotron-3-nano:4b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about nemotron-3-nano
- How much VRAM do I need to run nemotron-3-nano?
- At 4K context, the smallest published build of nemotron-3-nano (Q4_K_M) needs roughly 6.5 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-nano without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 6.5 GB at 4K context, plus headroom for your operating system. Check the build's runtime requirements. We have not measured its speed on your CPU.
- How big is the nemotron-3-nano download?
- The smallest published build is 2.6 GB. There are 5 builds in total, the largest being 58.8 GB. Leave some extra free disk space beyond the download itself.
- How do I run nemotron-3-nano locally?
- Install Ollama, then download a specific build with "ollama pull nemotron-3-nano:4b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.
Will nemotron-3-nano run on your PC?
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Or start from your memory: 8 GB VRAM, 12 GB VRAM, 16 GB VRAM, 24 GB VRAM or a 16 GB Mac.
Model data from the official Ollama registry · verified 13/10/2026