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whichllmmodel

v1.1.0

Published

Official open-source Hardware & Memory Profiler for whichllmmodel.com - Bridges local hardware into WhichLLM Local Finder

Readme

whichllmmodel

Official Hardware & Memory Profiler for whichllmmodel.com
Inspect your local hardware memory and bridge directly into the whichllmmodel Local Finder.

License: MIT Node: >=18


📦 Quick Start

Run Instantly via npx (No Installation Required)

npx whichllmmodel

Global Installation

npm install -g whichllmmodel

🖥️ Terminal Output Example

whichllmmodel • Hardware & Memory Profiler

Hardware Detected:
  • Device:         NVIDIA GeForce RTX 3060
  • CPU:            Intel(R) Core(TM) i7-12700K (win32 x64)
  • Architecture:   Discrete GPU

Memory Breakdown:
  Physical Installed Memory:
    • GPU VRAM:     12.0 GB installed
    • System RAM:   32.0 GB installed

  Live Available Memory (Ready for LLMs):
    • GPU VRAM:     10.4 GB available (87% free)
    • System RAM:   22.1 GB available (69% free)

Explore all compatible models online:
https://www.whichllmmodel.com/app/text/local?vram=10.4&ram=22.1&memory_mode=available

🛠️ CLI Options

| Flag | Description | Example | | :--- | :--- | :--- | | -o, --open | Automatically opens the pre-filled Local Finder URL directly in your default browser. | whichllmmodel --open |

# Profile and immediately open WhichLLM Local Finder in browser
whichllmmodel -o

📄 License

MIT © whichllmmodel.com