text model · Nemotron 3.5 · Windows
Can I run Nemotron 3.5 Lightning 30B-A3B on 32GB RAM Laptop (CPU/iGPU only)?
Yes. Nemotron 3.5 Lightning 30B-A3B runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~25.8 GB of ~28 GB usable).
Fits at Q4_K_M (~25.8 GB of ~28 GB usable) but with little headroom. Close background apps, and expect slow CPU generation at this size.
That figure is at a 4k context and moves about ±15% as context length changes. 32GB RAM Laptop (CPU/iGPU only) leaves ~2.2 GB of headroom.
- Q4_K_M needed
- ~25.8 GB
- Usable on device
- ~28 GB
- Device memory
- 32 GB
- Best quant
- Q4_K_M
Which quant fits
Run it
Pick your tool. All 3 load the same Q4_K_M weights.
ollama run nemotron-3.5-lightning:30b-a3b llama-cli -hf bartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:Q4_K_M lms get bartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF - Parameters
- 30B (MoE, 3B active)
- Q4_K_M size
- 23.73 GB
- Q8_0 size
- 34.63 GB
- Context
- 1000k
- Ollama tag
- nemotron-3.5-lightning:30b-a3b
- Memory
- 32 GB ram
- Usable for weights
- ~28 GB
- Power draw
- ~28 W
- Best runtime
- Ollama (llama.cpp backend)
You could also run
Run Nemotron 3.5 Lightning 30B-A3B on other hardware
FAQ
Can 32GB RAM Laptop (CPU/iGPU only) run Nemotron 3.5 Lightning 30B-A3B?
Yes. Nemotron 3.5 Lightning 30B-A3B runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~25.8 GB of ~28 GB usable).
How much memory does Nemotron 3.5 Lightning 30B-A3B need?
It is a tight fit on 32GB RAM Laptop (CPU/iGPU only). At Q4_K_M the weights are ~23.73 GB; with KV cache and runtime overhead, budget ~25.8 GB at a 4k context. It is a Mixture-of-Experts model (30B total / 3B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Nemotron 3.5 Lightning 30B-A3B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Embed this
[](https://localmodel.run/can-i-run/nemotron-3.5-lightning-30b-a3b/laptop-32gb) Sources
- amazon.com
- amd.com
- en.wikipedia.org
- huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF
- huggingface.co/bartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF
- huggingface.co/nvidia
- lmstudio.ai
- notebookcheck.net
- ollama.com
- ollama.com/library/llama3.1:70b
- ollama.com/library/mixtral:8x7b
- ollama.com/library/nemotron-3.5-lightning
- walmart.com
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.