---
title: README
emoji: 🚀
colorFrom: red
colorTo: blue
sdk: static
pinned: false
---

The official collection for our paper [LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition](https://arxiv.org/abs/2307.13269), from Chengsong Huang*, Qian Liu*, Bill Yuchen Lin*, Tianyu Pang, Chao Du and Min Lin.

LoraHub is a framework that allows composing multiple LoRA modules trained on different tasks. The goal is to achieve good performance on unseen tasks using just a few examples, without needing extra parameters or training. And we want to build a marketplace where users can share their trained LoRA modules, thereby facilitating the application of these modules to new tasks.

* **Code**: https://github.com/sail-sg/lorahub
* **Install**: pip install lorahub

<img src="https://raw.githubusercontent.com/sail-sg/lorahub/main/figure/overview.jpg" width="800">