Popular GitHub Repositories for Memory Efficient Tuning

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

? Empowering everyone to build reliable and efficient smart contracts.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A high-throughput and memory-efficient inference and serving engine for LLMs

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The Memory layer for AI Agents

Agno is a lightweight library for building Multimodal Agents. It exposes LLMs as a unified API and gives them superpowers like memory, knowledge, tools and reasoning.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

??HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Low-code framework for building custom LLMs, neural networks, and other AI models