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bruel commited on Jun 18, 2024

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 # Welcome to the Lots-of-LoRAs Collection!
 ## Introduction
-We are proud to host the world's largest open collection of LoRAs (Low-Rank Adaption). This initiative is part of a broader effort to advance research and development in the field of LoRAs and PEFT (Parameter Efficient Fine-Tuning).
 ## Project Description
 Our collection currently includes over 500 LoRAs, making it the most extensive open repository of its kind. This project aims to support and drive forward research by providing a comprehensive dataset of LoRAs for analysis, experimentation, and application development.

 # Welcome to the Lots-of-LoRAs Collection!
 ## Introduction
+We are proud to host the world's largest open collection of LoRAs (Low-Rank Adaption). This initiative is part of a broader effort to advance research and development in the field of LoRA and PEFT (Parameter Efficient Fine-Tuning).
 ## Project Description
 Our collection currently includes over 500 LoRAs, making it the most extensive open repository of its kind. This project aims to support and drive forward research by providing a comprehensive dataset of LoRAs for analysis, experimentation, and application development.