LLM-Adapters VS discus

Compare LLM-Adapters vs discus 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)

discus

A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ (by discus-labs)
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LLM-Adapters discus
2 1
960 60
4.1% -
7.3 7.7
2 months ago 6 months ago
Python Python
Apache License 2.0 MIT License
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.

discus

Posts with mentions or reviews of discus. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

TencentPretrain - Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

kani - kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)

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

tdk-demo - This is a collection of TDK demo projects that use different databases and options

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

LongLoRA - Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

AGIEval

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

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

distilabel - ⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

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

start-llms - A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!