# phoebussi/alpaca-cot

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/phoebussi-alpaca-cot).**

2,796 stars · 250 forks · Jupyter Notebook · Apache-2.0

## Links

- GitHub: https://github.com/PhoebusSi/Alpaca-CoT
- awesome-repositories: https://awesome-repositories.com/repository/phoebussi-alpaca-cot.md

## Topics

`alpaca` `chatglm` `chatgpt` `cot` `instruction-tuning` `llama` `llm` `lora` `moss` `p-tuning` `parameter-efficient` `pytorch` `tabul` `tabular-data` `tabular-model`

## Description

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！

## Tags

### Part of an Awesome List

- [Data Expansion](https://awesome-repositories.com/f/awesome-lists/ai/data-expansion.md) — Empirical study on instruction-tuning using chain-of-thought data.
- [Instruction Datasets](https://awesome-repositories.com/f/awesome-lists/data/instruction-datasets.md) — Platform for chain-of-thought and instruction-tuning research.