text model · Qwen2.5 · iOS
Can I run Qwen2.5 72B on iPhone 16?
No. Qwen2.5 72B needs ~50.2 GB even at Q4_K_M, but iPhone 16 only has ~4.5 GB usable.
Needs ~50.2 GB even at Q4_K_M, but only ~4.5 GB is usable.
- Q4_K_M needed
- ~50.2 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
How to run it
On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.). Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.
- Parameters
- 72B
- Q4_K_M size
- 47.42 GB
- Q8_0 size
- 77.26 GB
- Context
- 128k
- Ollama tag
- qwen2.5:72b
- Memory
- 8 GB unified
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
What you can run instead
Run Qwen2.5 72B on other hardware
FAQ
Can iPhone 16 run Qwen2.5 72B?
No. Qwen2.5 72B needs ~50.2 GB even at Q4_K_M, but iPhone 16 only has ~4.5 GB usable.
How much memory does Qwen2.5 72B need?
iPhone 16 does not have enough memory. At Q4_K_M the weights are ~47.42 GB; with KV cache and runtime overhead, budget ~50.2 GB at a 4k context.
What is the best tool to run Qwen2.5 72B on iOS?
On iPhone and iPad, Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.) is the standard choice. Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.
Sources
Memory figures are estimates. See methodology.