iPhone / iPad · 2022 · A15

Local AI on the iPhone 14

6 GB A15. Great for tiny models; don’t expect Gemma 3 4B to stay resident.

Advertised RAM
6 GB
Usable for a model
~2.5 GB
Compute
Metal / ANE
LM Mini path
MLX / Metal

Start in LM Mini

Install the app, pick one of these, chat offline.

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.

ModelParamsQ4HereWhere
Qwen 3 0.6B 0.6B ~400–500 MB Fits In LM Mini
Gemma 3 1B Instruct 1B ~700–750 MB Fits In LM Mini
Llama 3.2 1B Instruct 1B ~700–808 MB Fits In LM Mini
DeepSeek R1 Distill 1.5B 1.5B ~1.0–1.1 GB Fits In LM Mini
Qwen 3 1.7B 1.7B ~1.1–1.2 GB Fits In LM Mini
Qwen 3.5 0.8B 0.8B ~500–600 MB Fits Studio / Ollama
SmolLM2 1.7B Instruct 1.7B ~1.0 GB Fits Studio / Ollama
Qwen 2.5 1.5B Instruct 1.5B ~1.0 GB Fits Studio / Ollama
Qwen 3.5 2B 2B ~1.3–1.5 GB Tight Studio / Ollama
Gemma 3n E2B 2B ~1.5 GB Tight Studio / Ollama

Too big for this phone

Host these on LM Studio or Ollama, then chat from iPhone 14.

How we score this

iPhone 14 ships with 6 GB. After iPhone / iPad we budget ~2.5 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.