HuggingFace Model Compatibility Scanner
Check hardware compatibility for GGUF models on HuggingFace. Provides real-time info on your system's ability to run AI models.
As of June 2026, HuggingFace Model Compatibility Scanner has 33 users in the Productivity category.
Usersup 17.9 percent+17.9%
33
33
Ratingno change0%
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— reviews
Reviewsno change0%
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Version
1.1
Manifest V3
90-day change · In the last 90 days this extension 1 version update.
History
3 snapshotsTracking since Apr 19, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| Apr 19, 2026 | 28 | — | — | 1.0 |
| May 11, 2026 | 34 | — | — | 1.0 |
| Jun 6, 2026 | 33 | — | — | 1.0 |
| Now | 33 | — | — | 1.1 |
Changelog
- Jun 6, 2026description
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/
HuggingFace Model Compatibility Scanner – GGUF LLM Hardware Checker Instantly check whether your PC can run GGUF AI models from HuggingFace. This Chrome extension analyzes your hardware and displays real-time compatibility badges for large language models (LLMs), helping you avoid downloading models your system cannot handle. ________________________________________ Features Real-Time GGUF Model Compatibility • Instantly detect whether a GGUF model is compatible with your system • Compatibility badges appear directly on HuggingFace model pages • Works automatically while browsing repositories and model listings Automatic Hardware Detection • Detects your CPU model • Identifies available system RAM • Uses local hardware information for compatibility analysis Smart Memory Requirement Analysis • Calculates whether your system meets the recommended memory requirements • Uses a 1.5× RAM safety check for GGUF models • Helps prevent crashes and poor performance caused by insufficient memory Visual Compatibility Indicators • Clear compatibility badges for supported and unsupported models • Quickly compare multiple GGUF files at a glance • Simple and easy-to-understand interface Seamless HuggingFace Integration • Designed specifically for HuggingFace model pages • Automatically scans repositories containing GGUF model files • No manual configuration required Lightweight and Privacy Focused • Minimal performance impact while browsing • No tracking or unnecessary background activity • All hardware analysis happens locally on your device • No personal data is sent to external servers ________________________________________ How It Works 1. Install the extension from the Chrome Web Store 2. Visit HuggingFace.co 3. Open any repository containing GGUF model files 4. View instant compatibility badges beside each model 5. Click the extension icon to see your detected hardware information ________________________________________ Why Use This Extension? Large language models can require significant system resources, with download sizes ranging from 1 GB to 50+ GB. Downloading incompatible models wastes time, bandwidth, and storage space. This extension helps you: • Avoid downloading unsupported GGUF models • Quickly identify models that fit your hardware • Save bandwidth and storage space • Improve your local AI workflow • Browse HuggingFace more efficiently ________________________________________ Perfect For • AI enthusiasts • Local LLM users • Developers • Researchers • Students • Anyone experimenting with locally-run GGUF models ________________________________________ Supported Platform • HuggingFace.co GGUF repositories • Google Chrome and Chromium-based browsers Changelog: Update UI & Description.
Permissions & access
- Permissions
- storagesystem.cpusystem.memory
- Host access
- https://huggingface.co/*
Screenshots
About
HuggingFace Model Compatibility Scanner – GGUF LLM Hardware Checker Instantly check whether your PC can run GGUF AI models from HuggingFace. This Chrome extension analyzes your hardware and displays real-time compatibility badges for large language models (LLMs), helping you avoid downloading models your system cannot handle. ________________________________________ Features Real-Time GGUF Model Compatibility • Instantly detect whether a GGUF model is compatible with your system • Compatibility badges appear directly on HuggingFace model pages • Works automatically while browsing repositories and model listings Automatic Hardware Detection • Detects your CPU model • Identifies available system RAM • Uses local hardware information for compatibility analysis Smart Memory Requirement Analysis • Calculates whether your system meets the recommended memory requirements • Uses a 1.5× RAM safety check for GGUF models • Helps prevent crashes and poor performance caused by insufficient memory Visual Compatibility Indicators • Clear compatibility badges for supported and unsupported models • Quickly compare multiple GGUF files at a glance • Simple and easy-to-understand interface Seamless HuggingFace Integration • Designed specifically for HuggingFace model pages • Automatically scans repositories containing GGUF model files • No manual configuration required Lightweight and Privacy Focused • Minimal performance impact while browsing • No tracking or unnecessary background activity • All hardware analysis happens locally on your device • No personal data is sent to external servers ________________________________________ How It Works 1. Install the extension from the Chrome Web Store 2. Visit HuggingFace.co 3. Open any repository containing GGUF model files 4. View instant compatibility badges beside each model 5. Click the extension icon to see your detected hardware information ________________________________________ Why Use This Extension? Large language models can require significant system resources, with download sizes ranging from 1 GB to 50+ GB. Downloading incompatible models wastes time, bandwidth, and storage space. This extension helps you: • Avoid downloading unsupported GGUF models • Quickly identify models that fit your hardware • Save bandwidth and storage space • Improve your local AI workflow • Browse HuggingFace more efficiently ________________________________________ Perfect For • AI enthusiasts • Local LLM users • Developers • Researchers • Students • Anyone experimenting with locally-run GGUF models ________________________________________ Supported Platform • HuggingFace.co GGUF repositories • Google Chrome and Chromium-based browsers Changelog: Update UI & Description.
Technical
- Version
- 1.1
- Manifest
- V3
- Size
- 49.61KiB
- Min Chrome
- 88
- Languages
- 1
- Featured
- No
Metadata
- ID
- eiiadgdhocodbafnlpeoekhdblojnaih
- Developer ID
- u559d3abd30e645a6d50b633016bb0b8d
- Developer Email
- [email protected]
- Created
- Apr 18, 2025
- Last Updated (Store)
- May 13, 2026
- Last Scraped
- Jun 6, 2026
- Website
- —
- Support URL
- —
- Privacy Policy
- —
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