text model · phi · Android
Can I run Phi-4 14B on Samsung Galaxy S24 Ultra?
No. Phi-4 14B needs ~10.8 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.
Needs ~10.8 GB even at Q4_K_M, but only ~8.5 GB is usable.
- Q4_K_M needed
- ~10.8 GB
- Usable on device
- ~8.5 GB
- Device memory
- 12 GB
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.). NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
- Parameters
- 14B
- Q4_K_M size
- 9.05 GB
- Q8_0 size
- 15.58 GB
- Context
- 16k
- Ollama tag
- phi4:14b
- Memory
- 12 GB ram
- Usable for weights
- ~8.5 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
What you can run instead
Run Phi-4 14B on other hardware
FAQ
Can Samsung Galaxy S24 Ultra run Phi-4 14B?
No. Phi-4 14B needs ~10.8 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.
How much memory does Phi-4 14B need?
Samsung Galaxy S24 Ultra does not have enough memory. 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.
Sources
Memory figures are estimates. See methodology.