CRX id
eiiadgdhocodbafnlpeoekhdblojnaih
eiiadgdhocodbafnlpeoekhdblojnaih
Description from extension meta
Check hardware compatibility for GGUF models on HuggingFace. Provides real-time info on your system's ability to run AI models.
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Description from store
HuggingFace Model Compatibility Scanner - GGUF LLM Hardware Checker
Instantly check if your PC can run GGUF AI models from HuggingFace.org! This extension analyzes your system's hardware and shows real-time compatibility badges for large language models (LLMs), saving you time and preventing frustration from downloading models your system can't handle.
✨ Key Features
Real-time Compatibility Badges - Instantly see which GGUF models will run on your system
Hardware Detection - Automatically identifies your CPU model and available RAM
Visual Indicators - Clear green/red badges show model compatibility at a glance
Memory Requirement Calculator - Determines if your system meets the 1.5x RAM requirement for models
HuggingFace Integration - Seamlessly works on model pages and repository listings
Lightweight & Fast - Minimal performance impact while browsing
Privacy Focused - All processing happens locally, no data sent to servers
🚀 How to Use
Install the extension
Visit HuggingFace.co
Browse to any repository containing GGUF model files
See instant compatibility badges next to each model
Click the extension icon to view your system's detected hardware specs
Perfect for AI enthusiasts, researchers, developers, and anyone exploring locally-run LLMs on their personal computers.
🔍 Why You Need This
Running large language models locally requires specific hardware. Download sizes for these models range from 1GB to 50GB+. Don't waste time and bandwidth downloading models that won't run on your system!
❤️ Support Development
Find this tool helpful? Consider supporting ongoing development:
Buy Me a Coffee: https://buymeacoffee.com/Pixatab
Visit our website: http://pixatab.xyz/
Statistics
Installs
3
history
Category
Rating
0.0 (0 votes)
Last update / version
2025-04-18 / 1.0
Listing languages
en