text model · Qwen2.5-VL · iOS
Can I run Qwen2.5-VL 7B on iPhone Air?
Yes. Qwen2.5-VL 7B runs on iPhone Air at Q4_K_M (~7.1 GB of ~8 GB usable).
Fits at Q4_K_M (~7.1 GB of ~8 GB usable) but with little headroom, close other apps.
- Q4_K_M needed
- ~7.1 GB
- Usable on device
- ~8 GB
- Device memory
- 12 GB
- Best quant
- Q4_K_M
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
- 8.29B
- Q4_K_M size
- 5.62 GB
- Q8_0 size
- 9.59 GB
- Context
- 32k
- Memory
- 12 GB unified
- Usable for weights
- ~8 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
You could also run
Run Qwen2.5-VL 7B on other hardware
FAQ
Can iPhone Air run Qwen2.5-VL 7B?
Yes. Qwen2.5-VL 7B runs on iPhone Air at Q4_K_M (~7.1 GB of ~8 GB usable).
How much memory does Qwen2.5-VL 7B need?
It is a tight fit on iPhone Air. At Q4_K_M the weights are ~5.62 GB; with KV cache and runtime overhead, budget ~7.1 GB at a 4k context.
What is the best tool to run Qwen2.5-VL 7B 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.