text model · Qwen3 · iOS
Can I run Qwen3 32B on iPad Pro M4 (16GB, 1TB/2TB config)?
No. Qwen3 32B needs ~22 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.
Needs ~22 GB even at Q4_K_M, but only ~12 GB is usable.
- Q4_K_M needed
- ~22 GB
- Usable on device
- ~12 GB
- Device memory
- 16 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
- 32B
- Q4_K_M size
- 19.8 GB
- Q8_0 size
- 34.8 GB
- Context
- 32k
- Ollama tag
- qwen3:32b
- Memory
- 16 GB unified
- Usable for weights
- ~12 GB
- Best runtime
- MLX (via Python or Swift; mlx-lm package)
What you can run instead
Run Qwen3 32B on other hardware
FAQ
Can iPad Pro M4 (16GB, 1TB/2TB config) run Qwen3 32B?
No. Qwen3 32B needs ~22 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.
How much memory does Qwen3 32B need?
iPad Pro M4 (16GB, 1TB/2TB config) does not have enough memory. At Q4_K_M the weights are ~19.8 GB; with KV cache and runtime overhead, budget ~22 GB at a 4k context.
What is the best tool to run Qwen3 32B 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.