# WangRongsheng/Aurora

<https://repo.masters-masters.com/en/repos/WangRongsheng/Aurora>

[Home](https://repo.masters-masters.com/en) › [WangRongsheng](https://repo.masters-masters.com/en/owners/WangRongsheng) › [Aurora](https://repo.masters-masters.com/en/repos/WangRongsheng/Aurora)

WangRongsheng/Aurora has 261 stars on GitHub. Its RepoMasters card: Alpha tier. The official codes for "Aurora: Activating chinese chat capability for…

| Field | Value |
| --- | --- |
| Owner | [WangRongsheng](https://repo.masters-masters.com/en/owners/WangRongsheng) |
| Stars | 261 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | mixtral-8x7b-instruct, mixtral, mixtral-8x7b, instruction-tuning, lora, qlora, fine-tuning, large-language-models, llm, gpt |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [WangRongsheng/Aurora](https://github.com/WangRongsheng/Aurora) |

## Repository

The official codes for "Aurora: Activating chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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