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Stars gained: From May 10, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 12, 2026, each from zero01K2KMay 10Nov 12, 2026PhoebusSi/Alpaca-CoThiggsfield-ai/higgsfield
Stars: The star count at the end of each dayStarsThe star count at the end of each day4K6KMay 8Nov 12, 2026PhoebusSi/Alpaca-CoThiggsfield-ai/higgsfield

Facts

Fact PhoebusSi/Alpaca-CoT

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!

higgsfield-ai/higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Stars 2,7856,328
Net stars, last 30 days +1+341
Largest star day +1 on May 28, 2026+439 on Sep 20, 2026
Milestone reached in the record None5,000 on Sep 19, 2026
Forks 2451,198
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0APACHE-2.0
Created Mar 24, 2023May 26, 2018
Last push Dec 12, 2023Oct 26, 2026
Archived NoYes
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: llama, llm, pytorch. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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