Gemma 4 AI Blog
Blog
Read latest product features, solutions, and updates.
Gemma 4 26B vs 31B: MoE vs Dense — Which Is Better?
In-depth comparison of Gemma 4's 26B MoE and 31B Dense models. Explains MoE architecture, benchmark results, VRAM requirements, speed differences, and use case recommendations.
How to Run Gemma 4 on AMD GPU (ROCm Setup Guide)
Step-by-step guide to running Gemma 4 on AMD GPUs with ROCm. Covers supported architectures, installation, Lemonade tool, vLLM/SGLang setup, and common troubleshooting tips.
How to Use the Gemma 4 API (Python, cURL & JavaScript)
Complete tutorial for calling the Gemma 4 API three ways: Ollama local API, Google AI Studio, and OpenRouter. Full code examples in Python, cURL, and JavaScript with streaming support.
Gemma 4 Architecture Explained: MoE, Dense, and Why It Matters
Understand how Gemma 4 works under the hood — Mixture of Experts, Dense models, attention mechanisms, and that massive 256K context window.
Gemma 4 Chinese Language Performance: Honest Review
A practical, honest review of Gemma 4's Chinese language abilities — comprehension, generation, code comments, translation, and how it compares to Qwen 3.
How to Run Gemma 4 in Docker (Complete Container Guide)
Run Gemma 4 in Docker containers — Dockerfile, docker-compose, GPU passthrough, persistent storage, and multi-model setups.
How to Download & Install Gemma 4 (Every Method)
Complete guide to downloading Gemma 4 — via Ollama, LM Studio, Hugging Face, Google AI Studio, and Kaggle. Find the best method for your setup.
How to Fine-Tune Gemma 4 with LoRA (Step-by-Step)
Learn how to fine-tune Gemma 4 using LoRA and QLoRA with Unsloth. From data prep to GGUF export and Ollama deployment — everything you need.
How to Build AI Agents with Gemma 4 Function Calling
Build AI agents with Gemma 4's native function calling. Covers tool definition in JSON schema, weather API and calculator examples, multi-step agent loops, Python code with Ollama API, and structured output patterns.
Gemma 4 GGUF: Which Quantization Should I Pick?
Complete guide to Gemma 4 GGUF quantization formats. Compares Q4_K_M, Q5_K_M, Q8_0, and IQ4_XS with file sizes, quality benchmarks, speed measurements, and setup instructions for llama.cpp, Ollama, and LM Studio.
Can My Laptop Run Gemma 4? (RAM & GPU Requirements)
Complete hardware requirements for every Gemma 4 model. RAM, VRAM, and GPU specs for laptops, desktops, and cloud. Find out exactly what you need before downloading.
How to Download Gemma 4 from Hugging Face (Weights & GGUF)
Download Gemma 4 from Hugging Face — official weights and GGUF quantized versions. Covers git lfs, huggingface-cli, transformers library usage, text-generation-inference, and HF mirror for Chinese users.
How to Run Gemma 4 on iPhone (Yes, It Actually Works)
A practical guide to running Gemma 4 AI on your iPhone. Which models work, how to set it up with Google AI Edge Gallery, and honest performance expectations.
Gemma 4 Structured Output: How to Get Reliable JSON Every Time
Get consistent, parseable JSON from Gemma 4 — system prompt techniques, Ollama format parameter, Pydantic validation, and retry patterns.
Gemma 4 on Mac: M1, M2, M3, M4 Performance Tested
Real performance benchmarks for Gemma 4 on every Apple Silicon Mac — M1 through M4, with tokens per second, model recommendations, and optimization tips.
How to Deploy Gemma 4 on Android & iOS (Mobile AI Guide)
Complete guide to running Gemma 4 on mobile devices. Covers Android deployment with AI Edge SDK, AICore, and MediaPipe, iOS with AI Edge Gallery and LiteRT, model selection, performance expectations, and offline AI capabilities.
How to Analyze Images with Gemma 4 (Multimodal Guide)
Learn how to use Gemma 4's multimodal capabilities to analyze images, extract text, read charts, and more. Includes Ollama CLI commands, Python API examples, and practical use cases.
How to Run Gemma 4 on NVIDIA RTX (CUDA Setup & Optimization)
Complete guide to running Gemma 4 on NVIDIA GPUs. Covers CUDA requirements, Ollama setup, GPU offloading, RTX performance comparison, Jetson support, and TensorRT-LLM optimization.
How to Run Gemma 4 on Raspberry Pi (Yes, Really)
Run Gemma 4 E2B on a Raspberry Pi 5 with Ollama — setup guide, realistic performance expectations, use cases, and optimization tips.
Why Is Gemma 4 Slow? Speed Up Guide for Mac, Windows & Linux
Diagnose and fix slow Gemma 4 performance. Covers CPU fallback detection, quantization speed comparison, context length tuning, KV cache management, and platform-specific optimizations for Mac, Windows, and Linux.
Gemma 4 Thinking Mode: What It Does & When to Use It
Understand Gemma 4's thinking/reasoning mode — how to enable it, when it helps, when to skip it, and real performance comparisons with and without thinking.
Gemma 4 Not Working? Common Fixes for OOM, Slow Speed & GPU Issues
Fix the most common Gemma 4 problems — out of memory errors, slow inference, GPU not detected, download issues, and more. Real solutions from the community.
How to Deploy Gemma 4 in Production (vLLM + Docker)
Deploy Gemma 4 for production use with vLLM, Docker, and an OpenAI-compatible API. Covers GPU planning, batch inference, monitoring, and Vertex AI.
Gemma 4 vs ChatGPT: Can a Free Local AI Replace It?
An honest comparison of Gemma 4 and ChatGPT — cost, privacy, speed, quality by task, and when to use each. Plus a hybrid approach that gives you the best of both.
Gemma 4 vs Gemini: What's the Difference?
Gemma 4 and Gemini come from the same team at Google, but they're very different products. Here's what sets them apart and when to use each one.
Gemma 4 vs Gemma 3: What's New and Should You Upgrade?
Detailed comparison of Gemma 4 and Gemma 3. Covers architecture changes, Apache 2.0 licensing, MoE models, audio support, 256K context, benchmark improvements, and migration guide.
Which Gemma 4 Model Should I Use? (E2B vs E4B vs 26B vs 31B)
A practical comparison of all four Gemma 4 models — E2B, E4B, 26B MoE, and 31B Dense. Find out which one fits your hardware and use case.
50 Best Gemma 4 Prompts: Coding, Writing, Analysis & Multimodal (2026)
Curated collection of the most effective prompts for Gemma 4. Copy-paste ready prompts for coding, writing, data analysis, image understanding, and more.
Best Local AI Models You Can Run in 2026: Complete Ranking & Comparison
A comprehensive ranking of the best open-source AI models you can run locally in 2026. Compare Gemma 4, Llama 4, Qwen 3, Phi-4, and Mistral — with hardware requirements, installation guides, and real-world use cases.
Gemma 4 vs Llama 4: Which Open AI Model Should You Use in 2026?
Detailed comparison of Google Gemma 4 and Meta Llama 4 Maverick. Benchmarks, features, licensing, and real-world performance. Find the best open model for your project.
Gemma 4 vs Qwen 3: Detailed Comparison (2026)
In-depth comparison of Google Gemma 4 and Alibaba Qwen 3. Side-by-side analysis of parameters, benchmarks, licensing, Chinese language support, and local deployment.
10 Practical Use Cases for Gemma 4: What You Can Actually Do With It
Discover 10 real-world use cases for Gemma 4, from coding assistance to document analysis to privacy-sensitive applications. Each use case includes the recommended model size and example prompts you can try today.
How to Use Gemma 4 for Free on Google AI Studio (2026)
Try Gemma 4 online for free — no installation, no GPU required. Complete guide to using Gemma 4 on Google AI Studio with chat, API access, and free tier details.
How to Run Gemma 4 Locally with Ollama: Complete Guide (2026)
Step-by-step guide to install and run Google Gemma 4 on your computer using Ollama. One command setup, no cloud needed. Works on Mac, Windows, and Linux.
How to Run Gemma 4 with LM Studio: Beginner-Friendly Guide (2026)
Learn how to run Google Gemma 4 locally using LM Studio — a beautiful GUI app for AI models. No command line needed. Download, click, and chat.
How to Run Gemma 4 in Your Browser with WebGPU (No Server Required)
A complete guide to running Gemma 4 directly in your browser using WebGPU. No backend, no API keys, no setup — just open a tab and start chatting with a powerful AI model on your own device.