Gemma 4 on Your Phone? Google AI Edge Gallery
A short phone-first walkthrough showing AI Edge Gallery, offline Gemma chat, and the practical mobile path people can try first.
Practical setup guides for Android phones, iPhone and iPad, Macs, Windows laptops, and local runtimes like AI Edge Gallery, LM Studio, Ollama, and llama.cpp. No benchmark theater. Just what works.
Best for phones
E2B / E4B
Start here when your goal is offline chat, translation, notes, or on-device workflows.
Best value
26B A4B
Usually the sweet spot when you have enough RAM and want better answers without maxing out hardware.
Heavy setup
31B
Great when quality matters more than convenience and your local hardware is serious.
Seen on X
These are the X posts we point people to when they ask whether mobile Gemma 4 installs are real. We prioritize first-person demos, attached video, and install notes over launch-day hype.
KellyV shared a hands-on iPhone clip saying Gemma 4 E4B and E2B are already running locally, offline, with no network connection.
A launch demo showing Gemma 4 E2B reasoning and using imported skills on-device, with the Android app available from the Play Store.
Install Google AI Edge Gallery, grab the ~3 GB Gemma 4 model, and run it fully offline — Chinese supported, no API fees, no data leaves the device.
Collected from X posts about on-phone Gemma 4 installs and demos as of Apr 5, 2026. This section is intentionally biased toward clips, live demos, and hands-on install notes.
On YouTube
This block is for people who would rather watch a real builder explain Gemma 4 before opening docs. We bias toward creators who either show a mobile path, teach local setup clearly, or give a sharp first-pass overview.
A short phone-first walkthrough showing AI Edge Gallery, offline Gemma chat, and the practical mobile path people can try first.
Try it now
If you want to feel the model before you set up anything locally, use this embedded demo first. Then come back to the device guides when you are ready to run Gemma 4 offline on your own hardware.
Device guides
This site is organized around real devices first, then runtimes. That is the fastest way to get Gemma 4 running locally without wasting downloads and setup time.
Device
Use AI Edge Gallery first. Then fall back to PocketPal or llama.cpp-style apps when you need more control.
Open guide →
Device
Find out what works today, what is still gated, and which Gemma 4 size is realistic on Apple mobile hardware.
Open guide →
Device
Compare MLX, LM Studio, Ollama, and llama.cpp based on unified memory, speed, and ease of setup.
Open guide →
Device
Pick the right route for RTX cards, CPU-only boxes, and laptops with limited VRAM.
Open guide →
Runtimes
Model picker
E2B
Phones, thin laptops, small RAM budgets
Start here when the device is your hard limit.
E4B
Better phones, tablets, lightweight desktops
The default recommendation when you want noticeably better quality without jumping to workstation hardware.
26B A4B
Macs with healthy unified memory, higher-end desktops
Often the best quality/speed tradeoff when you can afford more RAM.
31B
Workstations and serious local setups
Use it when quality matters more than convenience and your hardware can take the hit.
Search-driven articles
These blog posts target high-intent demand around model size, Android and iPhone support, runtime choice, and memory failures.
7 min read
Choose the right Gemma 4 model size for Android, iPhone, Mac, and Windows based on RAM, VRAM, speed, and real local usability.
Read article8 min read
If Gemma 4 will not load or crashes with out-of-memory errors, use these practical fixes for VRAM, RAM, context length, and runtime settings.
Read article7 min read
Want Gemma 4 on Android? This guide covers the easiest working path, realistic model sizes, and what to expect from AI Edge Gallery and other Android options.
Read articleWhy this site exists
Official pages tell you what Gemma 4 is. Reddit tells you what broke. This site sits in the middle: device-by-device paths to run Gemma 4 locally, model-fit guidance, and the fastest known fixes for the failures most people hit when setting up Gemma 4 for the first time.
Best first click
New to local AI? Start at Getting Started.
Most useful troubleshooting page
If the model does not fit, open Out of Memory before changing runtimes blindly.