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#

TierTarget hardwareUse caseGemma 4 E2BPhones, tablets, low-VRAM devicesOn-device inference, edge deploymentGemma 4 26B MoEDesktop GPUs (8-16 GB VRAM)General local AI, coding assistanceGemma 4 31B DenseWorkstations (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