VL_adapter
LLM-Adapters
VL_adapter | LLM-Adapters | |
---|---|---|
1 | 2 | |
193 | 968 | |
- | 4.9% | |
0.0 | 7.3 | |
over 1 year ago | 3 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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VL_adapter
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[P] Using LoRA to efficiently fine-tune diffusion models. Output model less than 4MB, two times faster to train, with better performance. (Again, with Stable Diffusion)
Found relevant code at https://github.com/ylsung/VL_adapter + all code implementations here
LLM-Adapters
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Google DeepMind CEO Says Some Form of AGI Possible in a Few Years
That is not true, you can for example use an additional adapter to optimize, that takes 50$ and a 1 hour. https://github.com/AGI-Edgerunners/LLM-Adapters
- LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of LLMs
What are some alternatives?
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
TencentPretrain - Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
MMD-GAN - Training MMD GANs.
discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ
VLDet - [ICLR 2023] PyTorch implementation of VLDet (https://arxiv.org/abs/2211.14843)
custom-diffusion - Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
torch-adapters - Small Library of PyTorch Adaptation modules
hierarchical-domain-adaptation - Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.
AGIEval
adapters - A Unified Library for Parameter-Efficient and Modular Transfer Learning
LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing