# PhoebusSi/Alpaca-CoT

<https://repo.masters-masters.com/en/repos/PhoebusSi/Alpaca-CoT>

[Home](https://repo.masters-masters.com/en) › [PhoebusSi](https://repo.masters-masters.com/en/owners/PhoebusSi) › [Alpaca-CoT](https://repo.masters-masters.com/en/repos/PhoebusSi/Alpaca-CoT)

PhoebusSi/Alpaca-CoT has 2,785 stars on GitHub. Its RepoMasters card: RC tier. We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple…

| Field | Value |
| --- | --- |
| Owner | [PhoebusSi](https://repo.masters-masters.com/en/owners/PhoebusSi) |
| Stars | 2,785 |
| Forks | 245 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | chatglm, llama, llm, lora, chatgpt, cot, instruction-tuning, alpaca, moss, p-tuning |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [PhoebusSi/Alpaca-CoT](https://github.com/PhoebusSi/Alpaca-CoT) |

## Repository

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…

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.