iPhone / iPad · 2022 · A15
Local AI on the iPhone SE (3rd gen)
Smallest RAM Apple still sells in the wild. Tiny GGUF/MLX only — or tap Connect to a home box.
- Advertised RAM
- 4 GB
- Usable for a model
- ~1.6 GB
- Compute
- Metal / ANE
- LM Mini path
- GGUF / Metal (MLX with Pro)
Start in LM Mini
Install the app, pick one of these, chat offline. The free plan includes four small starter models (1–1.7B); models marked Pro need LM Mini Pro.
Get LM Mini and load a model that actually fits — on-device, or via Connect to a PC.
What actually fits
Q4 weights plus KV cache. “Tight” means close Chrome first.
| Model | Params | Q4 | Here | Where |
|---|---|---|---|---|
| Qwen 3 0.6B | 0.6B | ~400–500 MB | Fits | In LM Mini · Pro |
| Qwen 3.5 0.8B | 0.8B | ~500–600 MB | Fits | Studio / Ollama |
| Gemma 3 1B Instruct | 1B | ~700–750 MB | Tight | In LM Mini · Free |
Too big for this phone
Host these on LM Studio or Ollama, then chat from iPhone SE (3rd gen).
- Llama 3.2 1B Instruct — PC + Connect
- DeepSeek R1 Distill 1.5B — PC + Connect
- Qwen 3 1.7B — PC + Connect
- Llama 3.2 3B Instruct — PC + Connect
- Phi-4 Mini Instruct — PC + Connect
- Qwen 3 4B Instruct 2507 — PC + Connect
How we score this
iPhone SE (3rd gen) ships with 4 GB. After iPhone / iPad we budget ~1.6 GB for inference. A 7B Q4 is ~4.4 GB on disk and wants ~6.5 GB live — that is why it fails on most 8 GB phones. 12–16 GB Android can try 8B. Apple 8 GB phones should live in 1B–4B.