alpaca-cot committers

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！

Last synced: about 18 hours ago

Total Commits: 353
Total Committers: 32
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 11.031
Development Distribution Score (DDS): 0.32

Commits in the past year: 0
Committers in the past year: 0
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 0.0
Development Distribution Score (DDS) in the past year: 0.0

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