LLM-Adapters VS TencentPretrain

Compare LLM-Adapters vs TencentPretrain and see what are their differences.

LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models" (by AGI-Edgerunners)
Adapters fine-tuning large-language-models parameter-efficient
Source Code
arxiv.org
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TencentPretrain

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo (by Tencent)
Albert bart Bert Chinese Classification clue elmo fine-tuning Gpt gpt-2 model-zoo Natural Language Processing Ner pegasus pre-training Pytorch roberta t5 unilm xlm-roberta
Source Code
github.com
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LLM-Adapters TencentPretrain
2 1
960 985
4.1% 1.3%
7.3 7.6
2 months ago 11 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LLM-Adapters

Posts with mentions or reviews of LLM-Adapters. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

TencentPretrain

Posts with mentions or reviews of TencentPretrain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-13.

What are some alternatives?

When comparing LLM-Adapters and TencentPretrain you can also consider the following projects:

discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ

simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

custom-diffusion - Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

tiger - Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

hierarchical-domain-adaptation - Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

alpaca-lora - Instruct-tune LLaMA on consumer hardware

AGIEval

llama-classification - Text classification with Foundation Language Model LLaMA

adapters - A Unified Library for Parameter-Efficient and Modular Transfer Learning

stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.

LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]

awesome-pretrained-chinese-nlp-models - Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

LLM-Adapters vs discus TencentPretrain vs simpleT5 LLM-Adapters vs custom-diffusion TencentPretrain vs tiger LLM-Adapters vs hierarchical-domain-adaptation TencentPretrain vs alpaca-lora LLM-Adapters vs AGIEval TencentPretrain vs llama-classification LLM-Adapters vs adapters TencentPretrain vs stanford_alpaca LLM-Adapters vs LLM-Finetuning-Hub TencentPretrain vs awesome-pretrained-chinese-nlp-models