Analyze PhoebusSi/Alpaca-CoT

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！

alpaca chatglm chatgpt cot instruction-tuning llama llm lora moss p-tuning

Jupyter Notebook

Apache License 2.0

Overview

Summary of the overall repo health

Adoption

Metrics on how many people know and interact with the repo

Stars

2,467

Open Issues

Forks

233

Top 1% by stars on GitHub

Excluding zero-starred repos

Contribution

Top Contributors

Top 10 contributors to the repo and their shares

Commits Properties

Metrics showing the quality of commits distribution

Bus Factor

Serious Ratio

Bus factor is less than 10

Diversity

Geo Distribution

Top locations by number of contributors and commits

commits

contributors

Org Distribution

Top organizations contributing to the repo

commits

contributors

Governance

Community governance docs check

Description
Website
Code of Conduct
Contributing.md
Issue Template
PR Template
License
README

More than half checks (5/8)