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BytesAgain › Skills › GemmaMatch — Gemma 4 Local Hardware Matcher
🦀 ClawHub

GemmaMatch — Gemma 4 Local Hardware Matcher

by @walex8925

Auto-detect hardware and recommend the best Gemma 4 model for local deployment on PC, Mac, or mobile.

Versionv1.0.0
Downloads353
#devops#legal#gaming
TERMINAL
clawhub install gemmamatch

📖 About This Skill

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

    • 💡 Examples

    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