text model · SmolLM2 · iOS
Can I run SmolLM2 135M on iPhone Air?
Yes. SmolLM2 135M runs on iPhone Air at Q4_K_M (~1 GB of ~8 GB usable).
Runs at Q4_K_M using ~1 GB of ~8 GB usable. You have room for FP16 for higher quality.
- Q4_K_M needed
- ~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
- 0.135B
- Q4_K_M size
- 0.105 GB
- Q8_0 size
- 0.145 GB
- Context
- 2k
- Ollama tag
- smollm2:135m
- 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 SmolLM2 135M on other hardware
FAQ
Can iPhone Air run SmolLM2 135M?
Yes. SmolLM2 135M runs on iPhone Air at Q4_K_M (~1 GB of ~8 GB usable).
How much memory does SmolLM2 135M need?
iPhone Air has room to spare. At Q4_K_M the weights are ~0.105 GB; with KV cache and runtime overhead, budget ~1 GB at a 4k context.
What is the best tool to run SmolLM2 135M 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.