# yizhongw/self-instruct

<https://repo.masters-masters.com/en/repos/yizhongw/self-instruct>

[Home](https://repo.masters-masters.com/en) › [yizhongw](https://repo.masters-masters.com/en/owners/yizhongw) › [self-instruct](https://repo.masters-masters.com/en/repos/yizhongw/self-instruct)

yizhongw/self-instruct has 4,618 stars on GitHub. Its RepoMasters card: RC tier. Aligning pretrained language models with instruction data generated by…

| Field | Value |
| --- | --- |
| Owner | [yizhongw](https://repo.masters-masters.com/en/owners/yizhongw) |
| Stars | 4,618 |
| Forks | 519 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | general-purpose-model, language-model, instruction-tuning |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [yizhongw/self-instruct](https://github.com/yizhongw/self-instruct) |

## Repository

Aligning pretrained language models with instruction data generated by themselves.

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

## More repos by yizhongw

- [yizhongw/Tk-Instruct · ★ 184 · Python · Prototype](https://repo.masters-masters.com/en/repos/yizhongw/Tk-Instruct)

## Nearby in Python

- [okfn-brasil/serenata-de-amor · ★ 4,621 · Python · RC](https://repo.masters-masters.com/en/repos/okfn-brasil/serenata-de-amor)
- [scottrogowski/code2flow · ★ 4,620 · Python · RC](https://repo.masters-masters.com/en/repos/scottrogowski/code2flow)
- [huggingface/autotrain-advanced · ★ 4,619 · Python · RC](https://repo.masters-masters.com/en/repos/huggingface/autotrain-advanced)
- [pyrogram/pyrogram · ★ 4,616 · Python · RC](https://repo.masters-masters.com/en/repos/pyrogram/pyrogram)
- [NVlabs/neuralangelo · ★ 4,616 · Python · RC](https://repo.masters-masters.com/en/repos/NVlabs/neuralangelo)
- [lucas-maes/le-wm · ★ 4,614 · Python · RC](https://repo.masters-masters.com/en/repos/lucas-maes/le-wm)

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