TencentPretrain VS LLM-Adapters

Compare TencentPretrain vs LLM-Adapters 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)
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TencentPretrain LLM-Adapters
1 2
983 950
1.1% 3.1%
7.6 7.3
9 days ago 2 months ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

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.

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.

What are some alternatives?

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

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

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

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

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

alpaca-lora - Instruct-tune LLaMA on consumer hardware

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

llama-classification - Text classification with Foundation Language Model LLaMA

AGIEval

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

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

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