text model · Nemotron · Android

Can I run Llama-3.3-Nemotron-Super-49B-v1 on Samsung Galaxy S24 Ultra?

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 Samsung Galaxy S24 Ultra only has ~8.5 GB usable.

Needs ~30.6 GB Device usable ~8.5 GB

Needs ~30.6 GB even at Q4_K_M, but only ~8.5 GB is usable.

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

The gap is about 22.1 GB: Llama-3.3-Nemotron-Super-49B-v1 needs roughly 30.6 GB at Q4_K_M and Samsung Galaxy S24 Ultra leaves only about 8.5 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: ~8.5 GB
Device memory: 12 GB

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Which quant fits

Quant ladder vs ~8.5 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 Samsung Galaxy S24 Ultra's ~8.5 GB budget; rungs past it are too large.

How to run it

On Android use PocketPal AI (Polished app, download GGUF and run offline.).

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 Android

Memory: 12 GB ram
Usable for weights: ~8.5 GB
Power draw: ~8 W
Best runtime: llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)

Best models for Samsung Galaxy S24 Ultra →

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 Samsung Galaxy S24 Ultra 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 Samsung Galaxy S24 Ultra only has ~8.5 GB usable.

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

Samsung Galaxy S24 Ultra 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 Android?

On Android, PocketPal AI (Polished app, download GGUF and run offline.) is the go-to option. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.

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Markdown

[![Llama-3.3-Nemotron-Super-49B-v1 on Samsung Galaxy S24 Ultra](https://localmodel.run/badge/nemotron-super-49b/samsung-s24-ultra.svg)](https://localmodel.run/can-i-run/nemotron-super-49b/samsung-s24-ultra)

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.