text model · Nemotron · Windows

Can I run Llama-3.3-Nemotron-Super-49B-v1 on 8GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Llama-3.3-Nemotron-Super-49B-v1 needs ~30.6 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

Needs ~30.6 GB Device usable ~5 GB

Needs ~30.6 GB even at Q4_K_M, but only ~5 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 25.6 GB: Llama-3.3-Nemotron-Super-49B-v1 needs roughly 30.6 GB at Q4_K_M and 8GB RAM Laptop (CPU/iGPU only) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs Llama-3.3-Nemotron-Super-49B-v1 is the Nvidia GeForce RTX 5090 (32GB) at 32 GB. See Llama-3.3-Nemotron-Super-49B-v1 on Nvidia GeForce RTX 5090 (32GB).

Q4_K_M needed: ~30.6 GB
Usable on device: ~5 GB
Device memory: 8 GB

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Which quant fits

Quant ladder vs ~5 GB usable

Q2_K

~23 GB

Q3_K_M

~26.4 GB

Q4_K_M

~30.6 GB

Q5_K_M

~37.4 GB

Q6_K

~42.7 GB

Q8_0

~51.9 GB

FP16

~102.2 GB

The line marks 8GB RAM Laptop (CPU/iGPU only)'s ~5 GB budget; rungs past it are too large.

How to run it

On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).

Model Nemotron

Parameters: 49B
Q4_K_M size: 28.14 GB
Q8_0 size: 49.36 GB
Context: 128k

Full Llama-3.3-Nemotron-Super-49B-v1 requirements →

Device Windows

Memory: 8 GB ram
Usable for weights: ~5 GB
Power draw: ~15 W
Best runtime: Ollama (llama.cpp backend)

Best models for 8GB RAM Laptop (CPU/iGPU only) →

What you can run instead

Run Llama-3.3-Nemotron-Super-49B-v1 on other hardware

Nvidia GeForce RTX 5090 (32GB)Apple M4 Pro (48GB)Apple M5 Pro (48GB)Apple M4 Max (64GB)Apple M4 Max (128GB)AMD Ryzen AI Halo (128GB)

FAQ

Can 8GB RAM Laptop (CPU/iGPU only) run Llama-3.3-Nemotron-Super-49B-v1?

No. Llama-3.3-Nemotron-Super-49B-v1 needs ~30.6 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

How much memory does Llama-3.3-Nemotron-Super-49B-v1 need?

8GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~28.14 GB; with KV cache and runtime overhead, budget ~30.6 GB at a 4k context.

What is the best tool to run Llama-3.3-Nemotron-Super-49B-v1 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.

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Markdown

[![Llama-3.3-Nemotron-Super-49B-v1 on 8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/badge/nemotron-super-49b/laptop-8gb.svg)](https://localmodel.run/can-i-run/nemotron-super-49b/laptop-8gb)

Sources

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.