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Can I run Phi-4 14B on Samsung Galaxy S26 Ultra (16GB, 1TB config)?

Compatibility verdict VRAM threshold engine
Yes, but tight slow on this hardware ~5 tok/s est.

Yes. Phi-4 14B runs on Samsung Galaxy S26 Ultra (16GB, 1TB config) at Q4_K_M (~10.8 GB of ~12 GB usable).

Needs ~10.8 GB Device usable ~12 GB

Fits at Q4_K_M (~10.8 GB of ~12 GB usable) but with little headroom. Close background apps, and expect slow generation on a phone.

That figure is at a 4k context and moves about ±15% as context length changes. Samsung Galaxy S26 Ultra (16GB, 1TB config) leaves ~1.2 GB of headroom.

Q4_K_M needed
~10.8 GB
Usable on device
~12 GB
Device memory
16 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~12 GB usable
Q2_K
~7.6 GB
Q3_K_M
~8.5 GB
Q4_K_M
~10.8 GB
Q5_K_M
~11.7 GB
Q6_K
~13.2 GB
Q8_0
~17.3 GB
FP16
~29.7 GB
The line marks Samsung Galaxy S26 Ultra (16GB, 1TB config)'s ~12 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
Parameters
14B
Q4_K_M size
9.05 GB
Q8_0 size
15.58 GB
Context
16k
Ollama tag
phi4:14b
Full Phi-4 14B requirements →
Device Android
Memory
16 GB ram
Usable for weights
~12 GB
Best runtime
llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
Best models for Samsung Galaxy S26 Ultra (16GB, 1TB config) →

You could also run

Run Phi-4 14B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)16GB RAM Laptop (CPU/iGPU only)iPad Pro M4 (16GB, 1TB/2TB config)

FAQ

Can Samsung Galaxy S26 Ultra (16GB, 1TB config) run Phi-4 14B?

Yes. Phi-4 14B runs on Samsung Galaxy S26 Ultra (16GB, 1TB config) at Q4_K_M (~10.8 GB of ~12 GB usable).

How much memory does Phi-4 14B need?

It is a tight fit on Samsung Galaxy S26 Ultra (16GB, 1TB config). At Q4_K_M the weights are ~9.05 GB; with KV cache and runtime overhead, budget ~10.8 GB at a 4k context.

What is the best tool to run Phi-4 14B 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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Phi-4 14B on Samsung Galaxy S26 Ultra (16GB, 1TB config) compatibility badge A live badge for your model card or README, updated as the data is.
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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.