Local LLM Hardware Matcher — Gemma 4 Edition

Can your PC or Mac run Gemma 4 locally? Stop guessing VRAM requirements. Enter your hardware specs and get an instant, personalized setup recommendation.

🔗 Live: gemma-4-local-hardware-requirements
🏷️ Keywords: gemma 4 local, gemma 4 ollama, gemma 4 requirements

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Overview

A highly converting, SEO-optimized Single Page Application (SPA) that helps developers figure out if and how they can run Google's Gemma 4 locally. The interactive hardware matcher provides tailored recommendations for model variant, quantization, and inference framework based on the user's specific device.

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Tech Stack

Layer	Technology
Framework	Astro (static SEO shell)
Interactivity	React (.tsx) via client:load
Styling	Tailwind CSS + shadcn/ui
Theme	Dark (slate-900 background)
Language	English only

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Features

• Auto-detect OS via navigator.userAgent on mount
• Interactive Matcher Tool — inputs: OS / System RAM / GPU VRAM / Primary Goal
• Dynamic Result Card with:
  • Usability badge: 🟢 Great / 🟡 Usable / 🟠 Experimental / 🔴 Not Recommended
  • Recommended model + quantization
  • Human-readable reasoning
  • Speed estimate + framework
  • One-click CLI copy block or App Store buttons
  • Community confidence score
• Evergreen SEO Sections: Model tiers, frameworks, community FAQ

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Supported Model Profiles (Cold-Start Data)

ID	Hardware Target	Goal	Recommendation	Rating
g4-mobile-general	iOS ≥6GB RAM	Any	Gemma 4 E2B/E4B via PocketPal	🟡 Usable
g4-mac-coding	Mac ≥24GB RAM	Coding	Gemma 4 31B Q4_K_M via Ollama/MLX	🟡 Usable
g4-pc-sweetspot	Windows ≥12GB VRAM	Chat	Gemma 4 26B-A4B MoE Q4_K_M	🟢 Great
g4-pc-low-vram-long	Windows 8GB VRAM	Long Context	Gemma 4 E4B Q6_K via llama.cpp	🟠 Experimental

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Project Structure

/
├── src/
│   ├── pages/
│   │   └── gemma-4-local-hardware-requirements/
│   │       └── index.astro       # SEO shell + static sections
│   ├── components/
│   │   └── HardwareMatcher.tsx   # React interactive tool (client:load)
│   └── data/
│       └── modelDatabase.ts      # ModelProfile[] type + cold-start data
└── public/

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Matching Algorithm

findBestMatch({ os, ram, vram, primaryGoal })
// 1. Filter by OS + minRam + minVram thresholds
// 2. Find exact primaryGoal match
// 3. Fallback to primaryGoal: 'any' | 'chat' for the hardware tier

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SEO Targets

• Title: Gemma 4 Local Hardware Matcher: Can Your PC/Mac Run It?
• H1: Run Gemma 4 Locally: The Hardware Matcher
• Meta description: Stop guessing VRAM requirements. Use our interactive hardware matcher...
• Top keywords: gemma 4 ollama, gemma 4 gguf, gemma 4 26b a4b, gemma 4 mlx, gemma 4 requirements

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Competitor Reference

• Gemmamatch

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Related Notes

• [[gemma 4 local]] — SEO research & Google Trends analysis
• [[Local LLM Hardware Matcher & Guide (Gemma 4 Edition MVP)]] — Full PRD

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你需要我把这个 README 直接写入某个项目目录，还是有其他调整？