Unify Parameter Efficient Tuning

Features

Parameter Efficient Adaptation - Unified codebase for various parameter-efficient tuning methods.

AGI-Edgerunners/LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

google-research/adapter-bert

506View on GitHub

This repository contains a version of BERT that can be trained using adapters. Our ICML 2019 paper contains a full description of this technique: Parameter-Efficient Transfer Learning for NLP.

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

google-research/adapter-bert

506View on GitHub

This repository contains a version of BERT that can be trained using adapters. Our ICML 2019 paper contains a full description of this technique: Parameter-Efficient Transfer Learning for NLP.

huawei-noah/KD-NLP

99View on GitHub

Adapter-Hub/adapter-transformers

2,816View on GitHub

jxheunify-parameter-efficient-tuning