LLM-Adapters
discus
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 |
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
-
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
discus
What are some alternatives?
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!