Can I run nemotron-cascade-2?

nemotron-cascade-2 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.

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-cascade-2 locally

1. 1.Install Ollama for Windows, macOS or Linux.
2. 2.Run this in a terminal:ollama run nemotron-cascade-2:30b
3. 3.The weights download on first run, then an interactive prompt opens.

Frequently asked questions about nemotron-cascade-2

How much VRAM do I need to run nemotron-cascade-2?

At 4K context, the smallest published build of nemotron-cascade-2 (Q4_K_M) needs roughly 32.7 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-cascade-2 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 32.7 GB of free RAM for the smallest build.

How big is the nemotron-cascade-2 download?

The smallest published build is 22.6 GB. Leave some extra free disk space beyond the download itself.

How do I run nemotron-cascade-2 locally?

Install Ollama, then run "ollama run nemotron-cascade-2:30b" in a terminal. The weights download on first use and an interactive session opens.