Blog · 2026-07-28
Best small GGUF models for mid-range Android
Model size guidance for mid-range phones: start tiny, measure RAM, then climb. Q4_K_M defaults and vision caveats.
Mid-range Android is not a 64 GB desktop. Treat model choice like packing a backpack.
Start here
- Sub-1B to ~1B class instruct models in Q4_K_M
- Examples people commonly try: Qwen2.5 0.5B-class, SmolLM2 360M-class (availability changes — verify licenses and cards)
- Leave headroom for the OS; do not fill RAM to the brim
Then scale
If load succeeds and tokens are usable, try larger instruct models carefully. Vision stacks need base + mmproj and more patience.
Details: GGUF on Android.
Available on Google Play
Try private offline AI on Android.
Install from Google Play, download a compatible model, then chat offline.