ChatGPT costs ₹1,700/month. Claude costs ₹1,700/month. Gemini Advanced costs ₹1,950/month.
Every AI tool wants a subscription. And those subscriptions add up fast.
Google took a different approach with Gemma 4. This AI model runs directly on your phone or laptop — no internet required, no subscription, no data sent to any server. Download it once, use it forever for free.
This guide explains what Gemma 4 is, which model will run on your device, and how to set it up step by step — for Android, iPhone, and laptop.
What Is Gemma 4?
Gemma 4 is Google’s latest open-source AI model, released in April 2026. “Open-source” means Google has publicly released the model weights — anyone can download and run it on their own device.
This is different from Gemini. Gemini runs in the cloud — your prompt goes to Google’s servers and the answer comes back from there. Gemma 4 runs entirely on your device. Nothing leaves your phone or laptop.
Gemma 4 model variants:
| Model | Download Size | Best For |
|---|---|---|
| Gemma 4 E2B | ~1.5 GB | Entry-level phones, fast responses |
| Gemma 4 E4B | ~3–4 GB | Modern phones, best balance |
| Gemma 4 26B | ~15 GB | Laptops, high-quality work |
| Gemma 4 31B | ~20 GB | Powerful laptops/workstations |
For phones, E2B and E4B are the right choice — these are specifically designed for edge devices. The “E” stands for “Effective” — these models punch well above their size in real-world tasks.
Gemma 4 is released under the Apache 2.0 license — free for both personal and commercial use.
Check Your Device First
Android Requirements
- Android 10 or later
- 4 GB RAM minimum (6 GB+ recommended)
- 3–5 GB free storage
Popular Indian phones that will work:
- Redmi Note 13 series (6 GB / 8 GB RAM) ✅
- Samsung Galaxy A54 / A55 ✅
- Realme 12 series ✅
- OnePlus Nord series ✅
- Samsung Galaxy S23 / S24 ✅
- Poco X6 / X7 series ✅
iPhone Requirements
- iOS 16 or later
- iPhone 15 Pro or newer for best performance
- iPhone 12 series also works (slower)
- 3–5 GB free storage
Laptop Requirements
- Windows 10/11, macOS, or Linux
- 8 GB RAM minimum (for E4B model)
- 16 GB RAM recommended (for 12B model)
- GPU optional but makes a noticeable difference
Part 1: Setting Up Gemma 4 on Android
Step 1: Download the App
Google AI Edge Gallery is available on the Google Play Store:
- Open Play Store
- Search: “Google AI Edge Gallery”
- Install — app size is around 50 MB
- Open the app
Step 2: Explore the Main Screen
When you open the app, you’ll see several tiles:
- AI Chat — standard conversation with the model
- Ask Image — analyze photos with AI, completely offline
- Audio Scribe — real-time voice transcription
- Agent Skills — autonomous task execution
- Prompt Lab — advanced prompt testing
Start with AI Chat.
Step 3: Download a Gemma 4 Model
- Tap AI Chat
- Tap “Get Models” or the Models tab
- You’ll see two options:
- Gemma 4 E2B — ~1.5 GB, fast, suitable for basic tasks
- Gemma 4 E4B — ~3–4 GB, smarter, better responses
- If your phone has 6 GB+ RAM, choose E4B
- If your phone has 4 GB RAM, choose E2B
- Download over Wi-Fi — the files are large
The download takes 5–15 minutes depending on your connection speed.
Step 4: Start Chatting
Once the download completes:
- Tap the model name to load it
- First load takes 10–30 seconds
- Type your message and send
The first response is usually the slowest — the model warms up as it runs. Subsequent messages in the same session are faster.
Try these to test it:
- “Write a professional email requesting leave for 2 days”
- “Explain compound interest in simple terms”
- “Give me 5 business ideas that work in India with low investment”
Bonus Features Worth Trying
Ask Image: Take a photo or pick one from your gallery. Gemma 4 analyzes it and answers questions about it — exam papers, receipts, product labels, anything. Completely offline, nothing leaves your phone.
Audio Scribe: Speak and it transcribes in real time. Supports Hindi as well.
Agent Skills: The model can search Wikipedia, show interactive maps, and complete multi-step tasks — all running locally on your device.
Thinking Mode: In AI Chat, toggle “Thinking Mode” to see the model’s step-by-step reasoning before it gives an answer. Useful for understanding how the AI approaches a problem.
Part 2: Setting Up Gemma 4 on iPhone
Google AI Edge Gallery is available on iOS as of April 2026.
Step 1: Download the App
- Open the App Store
- Search: “Google AI Edge Gallery”
- Download and install
iPhone 15 Pro or newer gives the best experience. iPhone 12 and 13 series work but respond more slowly.
Step 2: Download a Model and Start Chatting
The steps are identical to Android:
- Open the app
- Select AI Chat
- Download E2B or E4B (use Wi-Fi)
- Load the model and start chatting
Performance on iOS is comparable to equivalent Android devices.
Part 3: Running Gemma 4 on a Laptop
The easiest way to run Gemma 4 on a laptop is Ollama — a free tool that runs AI models locally. Works on Windows, Mac, and Linux.
Step 1: Install Ollama
- Go to ollama.com
- Download the installer for your OS:
- Windows: Download the
.exefile and run it - Mac: Download the
.dmgfile, drag to Applications - Linux: Paste this in your terminal:
curl -fsSL https://ollama.com/install.sh | sh
- Windows: Download the
- After installation, Ollama runs as a background service — no need to open it each time
Step 2: Pull the Gemma 4 Model
Open Terminal (Mac/Linux) or Command Prompt (Windows) and type:
For 8 GB RAM laptops:
ollama pull gemma4:4bFor 16 GB+ RAM laptops:
ollama pull gemma4:12bFor 32 GB+ RAM with a GPU:
ollama pull gemma4:27bThe download size ranges from 2 GB to 15 GB depending on the model. Once downloaded, you never need to download it again.
You can also browse all available Gemma 4 model variants on the Ollama model library.
Step 3: Start a Chat Session
In your terminal:
ollama run gemma4:4bThis opens an interactive chat session. Type your prompt, press Enter, get a response. To exit, type /bye.
To see all models you’ve downloaded:
ollama listOptional: Browser-Based Interface
If you prefer a visual interface over the terminal, Open WebUI wraps Ollama in a clean, ChatGPT-style browser interface — all running locally.
With Docker installed, run:
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway \
-v open-webui:/app/backend/data --name open-webui \
--restart always ghcr.io/open-webui/open-webui:mainThen open http://localhost:3000 in your browser — you’ll get a full chat interface with model switching, conversation history, and more.
Laptop Performance — What to Expect
| Setup | Model | Approximate Speed |
|---|---|---|
| Basic laptop, 8 GB RAM, no GPU | E4B | 3–8 words/second |
| Mid-range laptop, 16 GB RAM | 12B | 5–15 words/second |
| Gaming laptop with NVIDIA GPU | 12B / 27B | 20–40 words/second |
| MacBook M2 / M3 / M4 | 12B | 20–35 words/second |
Apple Silicon Macs (M1/M2/M3/M4) are especially well-suited — RAM is shared between CPU and GPU, and Ollama uses Metal acceleration by default. The 12B model runs smoothly on an M2 MacBook Air with 16 GB RAM.
NVIDIA GPU laptops: Ollama detects CUDA automatically. Make sure your NVIDIA drivers are up to date for best performance.
Which Model Should You Pick?
Choose E2B on your phone if:
- Your phone has 4–6 GB RAM
- You want fast responses
- Your tasks are simple: writing, Q&A, translation, summaries
Choose E4B on your phone if:
- Your phone has 6 GB+ RAM
- You want better reasoning and more nuanced answers
- You’re working with longer text
Choose 4B on your laptop if:
- You have 8–12 GB RAM
- Daily tasks: emails, summaries, coding help, research
Choose 12B on your laptop if:
- You have 16 GB+ RAM
- You want noticeably better quality answers
- You’re analyzing longer documents or writing detailed content
Choose 27B on your laptop if:
- You have 32 GB RAM and a dedicated GPU
- You want quality close to ChatGPT or Claude
- You’re doing serious work that needs near-frontier performance
Honest Comparison: Gemma 4 vs ChatGPT vs Claude
| Feature | Gemma 4 (Local) | ChatGPT Plus | Claude Pro |
|---|---|---|---|
| Monthly Cost | Free | ₹1,700/mo | ₹1,700/mo |
| Internet Required | No | Yes | Yes |
| Data Privacy | 100% on-device | Sent to servers | Sent to servers |
| Response Quality | Good (E4B) | Excellent | Excellent |
| Image Analysis | Yes (offline) | Yes | Yes |
| Hindi Support | Yes | Yes | Limited |
| Setup Time | 10–15 minutes | 2 minutes | 2 minutes |
| Latest Information | No (knowledge cutoff) | Yes (web search) | Limited |
Gemma 4 is the right choice when:
- Privacy matters — you don’t want data leaving your device
- You can’t afford a monthly subscription
- You need offline AI — on a train, flight, or area with slow internet
- You’re a student who needs a free AI tool
ChatGPT or Claude is better when:
- You need up-to-date information (Gemma has a knowledge cutoff)
- Your tasks require the highest possible reasoning quality
- Speed is critical — cloud models respond faster on slow phones
Common Problems and Fixes
App won’t install on Android:
- Check Settings → Apps → Special App Access → Install Unknown Apps
- Try downloading directly from the Play Store
Model download keeps failing:
- Check available storage — you need 5 GB+ free
- Download on Wi-Fi, not mobile data
- Delete any partial downloads and retry
Responses are very slow:
- Try the smaller model (E2B instead of E4B)
- Close background apps to free up RAM
- On laptop: close other memory-heavy applications
Model crashes on load:
- Your device may not have enough RAM — try the smaller model
- Restart your phone and try again
- Clear the app cache from Settings
“ollama: command not found” on Mac/Linux:
- Restart your terminal after installation
- On Mac: open the Ollama app from Applications first, then try the terminal command
LM Studio alternative for laptops: If Ollama feels too technical, LM Studio offers a full desktop application with a visual interface for downloading and running Gemma 4 — no terminal required.
Why Privacy Matters Here
Running Gemma 4 locally means:
- Your prompts never reach any server
- Photos you analyze in Ask Image are never uploaded anywhere
- Your conversation history stays on your device
- The model works in Airplane Mode — zero internet dependency
This is particularly important if you work with confidential documents, business data, client information, or anything you wouldn’t want going through a third-party server. You can read more about Gemma’s on-device privacy approach in Google’s official documentation.
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