You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thank you for all the stars and forks! To better manage updates, issues, and versioning, Minimal Analytics 4 has moved to a dedicated GitHub repository.
🚀 What's New in v1.11 (2026 "Gold Master" Release)
This version represents a total architectural overhaul to bring this script in line with professional tracking standards while maintaining a tiny footprint.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
CLI-Tool for download Huggingface models and datasets with aria2/wget: hfd
🤗Huggingface Model Downloader
Note
(2026-06-18) Add 📊Download Progress, 🔁integrity-aware resume (re-fetch missing or changed files), and fast, resumable listing for 📚repos with massive file counts. (2025-01-08) Add feature for 🏷️Tag(Revision) Selection, contributed by @Bamboo-D. (2024-12-17) Add feature for ⚡Quick Startup and ⏭️Fast Resume, enabling skipping of downloaded files, while removing the git clone dependency to accelerate file list retrieval.
Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, This command-line tool leverages curl and aria2c for fast and robust downloading of models and datasets.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
A guide to force enabling Xcode LLM feature on China-SKU Macs.
Introduction
Apple restricted the access to Xcode LLM (Predictive code completion) feature on China models of Mac. This guide provides a way to bypass that restriction. It's verified on macOS 15.0 Beta (24A5264n), but there is no guarentee that it will always work on later macOS versions.
Prerequisites
Xcode is installed and run at least once.
SIP debugging restrictions are disabled (via csrutil enable --without debug command in recovery mode).