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| 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！ | ashishpatel26/LLM-Finetuning LLM Finetuning with peft |
|---|---|---|
| Stars | 2,785 | 2,997 |
| Net stars, last 30 days | +1 | +10 |
| Largest star day | +1 on May 28, 2026 | +4 on Jul 2, 2026 |
| Milestone reached in the record | None | None |
| Forks | 245 | 770 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | APACHE-2.0 | No license |
| Created | Mar 24, 2023 | Jun 8, 2023 |
| Last push | Dec 12, 2023 | Aug 1, 2025 |
| Archived | No | No |
| 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) | 0 of 3 checks (2 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) | 0 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 11, 2026 | Nov 11, 2026 |
Topics that all of them have on the Repository Host: llama, llm, lora, 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