Gemma 4 AI ブログ
ブログ
Gemma 4の最新機能、使い方、アップデート情報をお届けします。
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.
Gemma 4 26B vs 31B：MoE vs Dense — どちらが優れている？
Gemma 4の26B MoEと31B Denseモデルを徹底比較。MoEアーキテクチャの解説、ベンチマーク結果、VRAM要件、推論速度の違い、用途別のおすすめを紹介。
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.
Gemma 4のダウンロード＆インストール方法（全手順まとめ）
Gemma 4をダウンロードする完全ガイド — Ollama、LM Studio、Hugging Face、Google AI Studio、Kaggleのすべての方法を解説。あなたの環境に最適な方法が見つかります。
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.
自分のPCでGemma 4は動く？（RAM・GPU必要スペック）
Gemma 4全モデルのハードウェア要件まとめ。ノートPC、デスクトップ、クラウド別のRAM、VRAM、GPUスペック。ダウンロード前に必要なスペックが正確にわかります。
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.
Gemma 4をAndroid・iOSにデプロイする方法（モバイルAIガイド）
Gemma 4をモバイルデバイスで動かす完全ガイド。AndroidのAI Edge SDK・AICore・MediaPipe、iOSのAI Edge Gallery・LiteRTによるデプロイ、モデル選択、パフォーマンス目安、オフラインAI機能を解説。
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.
Gemma 4が遅い？Mac・Windows・Linux別の速度改善ガイド
Gemma 4のパフォーマンス低下を診断・解決。CPUフォールバック検出、量子化別速度比較、コンテキスト長チューニング、KVキャッシュ管理、プラットフォーム別の最適化を解説。
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が動かない？OOM・速度低下・GPU問題の解決法
Gemma 4のよくある問題を解決 — メモリ不足エラー、推論速度の低下、GPU未検出、ダウンロード問題など。コミュニティから集めた実際の解決策。
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 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：無料ローカルAIでChatGPTを置き換えられる？
Gemma 4とChatGPTの正直な比較 — コスト、プライバシー、速度、タスク別品質、使い分け方。両方を活用するハイブリッドアプローチも紹介。
Gemma 4 vs Gemini：何が違う？
Gemma 4とGeminiはGoogleの同じチームが作っていますが、全く異なる製品です。違いと使い分けを解説します。
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.
Gemma 4はどのモデルを選ぶべき？（E2B vs E4B vs 26B vs 31B）
Gemma 4の全4モデル — E2B、E4B、26B MoE、31B Denseを実用的に比較。あなたのハードウェアと用途に最適なモデルが見つかります。
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.
Gemma 4をOllamaでローカル実行する方法：完全ガイド（2026年版）
Ollamaを使ってGoogle Gemma 4をPCにインストール・実行する手順を解説。コマンド一発でセットアップ、クラウド不要。Mac、Windows、Linux対応。
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.