gemmamatch

name	gemmamatch
description	Auto-detect hardware and recommend the best Gemma 4 model for local deployment on PC, Mac, or mobile.
author	GemmaMatch
version	1.0.0
keywords	["gemma4","local-llm","hardware-matcher","ollama","gpu-detection"]
homepage	https://www.gemmamatch.com
source	https://github.com/walex8925/Gemma4local

GemmaMatch — Gemma 4 Local Hardware Matcher

Find the best Gemma 4 model for your hardware in seconds.

Website: https://www.gemmamatch.com

What it does

GemmaMatch auto-detects your GPU, VRAM, and system specs via WebGPU/WebGL APIs, then recommends the most suitable Gemma 4 model tier and provides a ready-to-use run command. All processing happens locally in your browser — no data leaves your device.

Recommended model tiers

Tier	Target hardware	Use case
Gemma 4 E2B	Phones, tablets, low-VRAM devices	On-device inference, edge deployment
Gemma 4 26B MoE	Desktop GPUs (8-16 GB VRAM)	General local AI, coding assistance
Gemma 4 31B Dense	Workstations (24+ GB VRAM)	High-quality generation, research

Key features

• Automatic GPU detection — uses WebGPU and WebGL APIs, no install required
• Personalized model recommendation — matches your exact hardware to the optimal Gemma 4 variant
• Platform-specific setup guides — step-by-step instructions for Mac (MLX, Ollama), Windows (Ollama, LM Studio), iOS, and Android
• One-click run commands — get a copy-paste Ollama or LM Studio command tailored to your system
• Manual comparison mode — compare upgrade scenarios or override auto-detection
• Privacy-first — everything runs in-browser, zero data collection

Quick start

1. Visit https://www.gemmamatch.com
2. Allow hardware detection (or enter specs manually)
3. Get your recommended model + run command
4. Copy the command and run it in your terminal

Supported platforms

• macOS — Apple Silicon (M1-M4), Intel with discrete GPU
• Windows — NVIDIA (RTX 30/40/50 series), AMD (RX 7000 series)
• Linux — NVIDIA CUDA, AMD ROCm
• iOS / Android — on-device model recommendations

Links

• Website: https://www.gemmamatch.com
• GitHub: https://github.com/walex8925/Gemma4local
• Product Hunt: https://www.producthunt.com/products/gemma-4-local-hardware-matcher