text model · Phi-4 · Android

Can I run Phi-4-reasoning on Samsung Galaxy S24 Ultra?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Phi-4-reasoning needs ~10.1 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.

Needs ~10.1 GB Device usable ~8.5 GB

Needs ~10.1 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 1.6 GB: Phi-4-reasoning needs roughly 10.1 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 Phi-4-reasoning is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Phi-4-reasoning on Nvidia GeForce RTX 3060 (12GB).

Q4_K_M needed: ~10.1 GB
Usable on device: ~8.5 GB
Device memory: 12 GB

Share on X Share on Reddit

Which quant fits

Quant ladder vs ~8.5 GB usable

Q2_K

~7.6 GB

Q3_K_M

~8.5 GB

Q4_K_M

~10.1 GB

Q5_K_M

~11.7 GB

Q6_K

~13.2 GB

Q8_0

~16.2 GB

FP16

~31 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 Phi-4

Parameters: 14B
Q4_K_M size: 8.43 GB
Q8_0 size: 14.51 GB
Context: 32k
Ollama tag: phi4-reasoning:14b

Full Phi-4-reasoning 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 Phi-4-reasoning on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)

FAQ

Can Samsung Galaxy S24 Ultra run Phi-4-reasoning?

No. Phi-4-reasoning needs ~10.1 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.

How much memory does Phi-4-reasoning need?

Samsung Galaxy S24 Ultra does not have enough memory. At Q4_K_M the weights are ~8.43 GB; with KV cache and runtime overhead, budget ~10.1 GB at a 4k context.

What is the best tool to run Phi-4-reasoning 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.

Embed this

A live badge for your model card or README, updated as the data is.

Markdown

[![Phi-4-reasoning on Samsung Galaxy S24 Ultra](https://localmodel.run/badge/phi-4-reasoning/samsung-s24-ultra.svg)](https://localmodel.run/can-i-run/phi-4-reasoning/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.