Gemma 4 AI 部落格
部落格
閱讀我們最新的產品功能、解決方案和更新內容。
Gemma 4 的 26B 和 31B 到底選哪個？MoE vs Dense 比較
深入比較 Gemma 4 的 26B MoE 和 31B Dense 模型。講解 MoE 架構原理、基準測試結果、顯存需求、速度差異和使用情境推薦。
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 下載安裝完整攻略（所有方法彙整）
Gemma 4 的所有下載方式一次整理——Ollama、LM Studio、Hugging Face、Google AI Studio、Kaggle，總有一種適合你。
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.
8G 記憶體能跑 Gemma 4 嗎？硬體設定需求一覽
Gemma 4 各模型完整硬體需求：記憶體、顯存、GPU 設定對照表。涵蓋 MacBook、電競 PC、雲端 GPU 等具體機型，幫你判斷自己的電腦能不能跑。
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 手機部署完整教學（Android + iOS）
在手機上跑 Gemma 4 的完整教學。涵蓋 Android 的 AI Edge SDK、AICore、MediaPipe 方案，iOS 的 AI Edge Gallery 和 LiteRT，模型選擇、效能預期、續航影響和離線 AI 能力。
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 太慢了？加速指南（Mac/Windows/Linux）
診斷並解決 Gemma 4 執行慢的問題。涵蓋 CPU 回退偵測、量化速度比較、上下文長度調校、KV 快取管理，以及 Mac/Windows/Linux 各平台的最佳化方法。
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 跑不動怎麼辦？記憶體不足/速度慢/GPU 問題解決
Gemma 4 常見問題的解決方案——記憶體不夠、推論太慢、GPU 沒偵測到、下載卡住等，來自社群的真實解決經驗。
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 能取代 ChatGPT 嗎？免費本機 AI 比較
Gemma 4 和 ChatGPT 的誠實比較——費用、隱私、速度、各任務品質，以及一個兩全其美的混合方案。
Gemma 4 和 Gemini 有什麼差別？一文講清
Gemma 4 和 Gemini 都是 Google 做的，但完全是兩個東西。搞清楚它們的差別，選對適合你的那個。
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 該選哪個版本？E2B/E4B/26B/31B 怎麼選
Gemma 4 四個版本的詳細比較——E2B、E4B、26B MoE、31B Dense，幫你根據硬體和需求選出最合適的那個。
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.
如何用 Ollama 在本機執行 Gemma 4：完整教學（2026）
手把手教你用 Ollama 在自己的電腦上安裝和執行 Google Gemma 4。一行指令即可啟動，無需雲端服務。支援 Mac、Windows 和 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.