Awesome Llama3

Llama 3 is Meta AI's latest LLM designed for multiple use cases, such as responding to questions in natural language, writing code, and brainstorming ideas.

Table of Contents

• GitHub projects
• Articles and Blogs
• Research Papers
• Videos
• Tools and Software
• Conferences and Events
• Slides and Presentations

GitHub projects

• 🚀 Meta Llama 3: The official GitHub repository for Meta AI's Llama 3, offering comprehensive resources and documentation for this advanced language model designed for natural language processing, coding, and idea generation.
• 🇨🇳 Llama-Chinese: A Chinese community hub for Llama 3, providing online experiences, fine-tuned models, up-to-date learning materials, and fully open-source code adapted for the best Chinese Llama large models, suitable for commercial use.
• 🔧 Llama3 From Scratch: An implementation of Llama 3 built step-by-step, focusing on matrix multiplication operations to provide a deep understanding of the model's architecture and functionality.
• 🛠️ MS Swift: A versatile toolkit for fine-tuning over 400 LLMs, including various versions of Llama 3, as well as 150+ multi-modal LLMs, enabling extensive customization and optimization for diverse applications.
• 🎛️ Xtuner: An efficient and flexible toolkit designed for fine-tuning large language models like Llama 3, offering a full suite of features to enhance model performance and adaptability.
• 💬 Llama3 Chinese Chat: A Chinese repository for Llama 3 and 3.1, featuring various fine-tuned and modified versions, training and inference tutorials, evaluation tools, and deployment guides to support Chinese language applications.
• 🖼️ CogVLM2: An open-source multi-modal model based on Llama 3-8B, offering capabilities comparable to GPT-4V, integrating visual and language understanding for enhanced interaction and analysis.
• 🖥️ Nano Llama 3.1: A lightweight, nanoGPT-style version of Llama 3.1, optimized for efficiency and ease of use, making advanced language modeling accessible for smaller-scale projects.
• 📚 Infinite Bookshelf: A tool that leverages Groq and Llama 3 to generate entire books in seconds, streamlining the creative writing process and enabling rapid content creation.
• 🧠 EmoLLM: A mental health-focused large language model incorporating Llama 3 and other advanced models, aimed at providing support and insights in the realm of psychological well-being through fine-tuned AI interactions.

Articles and Blogs

• 📄 The Llama 3 Herd of Models An extensive overview of Meta’s Llama 3 models, highlighting their multilingual capabilities, coding skills, and reasoning abilities. The paper compares Llama 3's performance with leading models like GPT-4 and explores its integration with image, video, and speech functionalities.
• 🔑 Unlocking Llama 3: Your Ultimate Guide to Mastering Llama 3! A comprehensive guide on effectively leveraging Llama 3's power for various AI applications. This article covers essential techniques and best practices to maximize the potential of Llama 3 in natural language processing and more.
• 💻 Llama3–70B inference on Intel Core Ultra 5 125H A technical deep dive into running the 70B parameter Llama 3 model on Intel’s Core Ultra 5 125H processor. The blog discusses performance benchmarks and optimization strategies for efficient local inference.
• 🛠️ Run Llama 3 with Hugging Face Transformers A step-by-step tutorial on implementing and running Llama 3 using the Hugging Face Transformers library. This guide covers setup, model downloading, and integration for seamless usage in projects.
• 🚀 Unlock the Power of Meta Llama LLM: Easy Guide to Hosting in ... An easy-to-follow guide on hosting Meta’s Llama LLM in your local development environment. The article walks through downloading, installing Ollama, and setting up your own AI chat agent.
• 🖥️ How to Use Llama 3 as a Free Copilot in VS Code A practical tutorial on integrating Llama 3 with Visual Studio Code as a free alternative to GitHub Copilot. Learn how to enhance your coding workflow with Llama 3’s assistance.
• 🏃 Running Llama3 locally. Day 114 / 366 A personal journey of setting up and running Llama3 locally, detailing the challenges and progress made over time. This blog provides insights and tips for developers looking to deploy Llama3 on their machines.

Research Papers

• 📄 The Llama 3 Herd of Models Read More Introduces Llama 3, a collection of 405B-parameter language models supporting multilinguality, coding, reasoning, and tools. Demonstrates performance on par with GPT-4 and integrates image, video, and speech capabilities.
• 📄 LLaMA: Open and Efficient Foundation Language Models Read More Presents LLaMA, a range of foundation models from 7B to 65B parameters trained on trillions of tokens. Shows that LLaMA-13B outperforms GPT-3 on most benchmarks and releases all models to the research community.
• 📄 An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs Read More Examines the effects of low-bit quantization on LLaMA3 models, exploring performance degradation and offering insights for efficient model deployment in resource-constrained environments.
• 📄 The Uniqueness of LLaMA3-70B Series with Per-Channel Quantization Read More Investigates the unique challenges of quantizing LLaMA3-70B models, identifying specific vulnerabilities and proposing solutions to maintain accuracy during the quantization process.
• 📄 Code Llama: Open Foundation Models for Code Read More Releases Code Llama, a family of models specialized for coding tasks, showcasing state-of-the-art performance in code generation and understanding. Includes various sizes and supports large input contexts for enhanced functionality.
• 📄 Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3 Read More Assesses Llama3's ability to attribute quotations to speakers in novels, surpassing previous models like ChatGPT. Confirms that performance gains are not due to memorization, establishing Llama3 as a new benchmark.
• 📄 Extending Llama-3's Context Ten-Fold Overnight Read More Demonstrates extending Llama-3-8B-Instruct's context length from 8K to 80K tokens using efficient QLoRA fine-tuning. Achieves superior performance on various tasks with minimal training samples, highlighting LLMs' potential for context expansion.

Videos

• 🚀 LLaMA 3 Tested!! Yes, It's REALLY That GREAT A comprehensive test of LLaMA 3, including new math evaluations. Explore its capabilities on TuneStudio, the ultimate playground for large language models.
• 🤖 Reliable, fully local RAG agents with LLaMA3 Learn how to build reliable, fully local Retrieval-Augmented Generation (RAG) agents using LLaMA3, perfect for running AI models on personal hardware.
• 🛠️ Build Anything with Llama 3 Agents, Here's How Discover the process of creating versatile AI agents with Llama3, covering both offline and online implementations for various applications.
• 🧠 Fully local RAG agents with Llama 3.1 Enhance your AI projects by building fully local RAG agents with Llama3.1, focusing on efficiency and reliability on personal devices.
• 🧩 Creating an AI Agent with LangGraph Llama 3 & Groq Follow a step-by-step guide to develop an advanced AI agent using LangGraph, Llama3, and Groq for optimized performance.
• 💡 Building open source LLM agents with Llama 3 Learn to combine tool use, memory, and planning to develop open-source language model agents with Llama3 capable of autonomous tasks.
• 💻 How to use LLAMA3.1 with LANGCHAIN for free. A tutorial on setting up and utilizing Llama3.1 with the LangChain framework for free, focusing on enhanced inference speed.
• 🔓 LLaMA 3 UNCENSORED It Answers ANY Question Explore the uncensored capabilities of LLaMA 3, demonstrating its ability to answer a wide range of questions with precision.
• 🛠️ How To Use Meta Llama3 With Huggingface And Ollama Learn how to integrate Meta Llama3 with Hugging Face and Ollama platforms, including code setup for seamless deployment.
• 🎯 EASIEST Way to Fine-Tune LLAMA-3.2 and Run it in Ollama Step-by-step guide to fine-tuning Llama 3.2 using Unsloth and deploying the model with Ollama for efficient performance.

Tools and Software

• 🛠️ Llama 3.1-405B on Product Hunt An openly accessible model that excels in language nuances, contextual understanding, and complex tasks like translation and dialogue generation. Llama 3.1-405B is poised to significantly impact the AI landscape by accelerating progress in the field.
• 🛠️ Llama 3.2 on Product Hunt This version of Llama enhances language processing capabilities, offering improved contextual understanding and translation features. It's designed to handle complex dialogue generation tasks efficiently.
• 💻 llama.cpp on SourceForge A C/C++ port of Facebook's LLaMA model, enabling efficient inference of the LLaMA model in pure C/C++. This tool is ideal for developers looking to integrate LLaMA models into their applications.
• 🔍 Top 10 Meta Llama 3 Alternatives & Competitors on G2 Explore the best alternatives to Meta Llama 3, including ChatGPT and Crowdin. This comparison helps you find the right AI chatbot software to meet your project needs.
• 📜 Llama Recipes on SourceForge Download scripts for fine-tuning Meta Llama3 using composable FSDP & PEFT methods. This repository supports the latest Llama 3.1 version, offering tools to enhance model performance.
• ⭐ The Good and the Bad After 3 Days of Meta's Llama 3 on Product Hunt Founder Kyle Corbitt shares his insights on using Llama 3, highlighting its strengths and areas for improvement. This review provides valuable perspectives for deploying Llama 3 models in production.
• 🌟 Meta Llama 3 Reviews on G2 Read detailed reviews, pricing, and feature insights from users of Meta Llama 3. Learn how Llama 3 excels in language understanding and complex task execution for various business needs.
• ⚖️ Azure OpenAI Service vs. Llama 2 Comparison Compare the features, pricing, and performance of Azure OpenAI Service with Llama 2. This comparison helps in selecting the best AI service for your specific requirements.
• ⚖️ Command R vs. Llama 3 Comparison Evaluate the differences between Command R and Llama 3, focusing on price, features, and user reviews. Make an informed decision for your AI chatbot software needs.

Conferences and Events

• 🏆 Llama Impact Hackathon Rome https://www.eventbrite.com/e/llama-impact-hackathon-rome-tickets-1088723263589 Hosted by Lablab.ai, the Llama Impact Hackathon in Rome runs from November 29 to December 1, 2024. Participants will collaborate to build innovative applications using Meta's Llama3, showcasing the latest advancements in large language models.

Slides and Presentations

• 🦙 Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama This presentation explores the integration of Llama3 with Milvus and Ollama to build Agentic Retrieval-Augmented Generation (RAG) systems. It covers the architecture, implementation strategies, and real-world applications of these technologies in enhancing AI capabilities.
• 📊 Using LLM Agents with Llama 3, LangGraph and Milvus Discover how to leverage Llama 3 alongside LangGraph and Milvus to create powerful LLM agents. This slide deck provides a comprehensive guide on setting up and optimizing these tools for advanced language processing tasks.
• 📈 Using LLM Agents with Llama 3.2, LangGraph and Milvus An updated version of integrating Llama 3.2 with LangGraph and Milvus, this presentation delves into the enhancements and new features introduced in Llama 3.2. It offers insights into improving agent performance and scalability for complex applications.
• 📑 LLaMA_Final The Meta LLM Presentation This presentation provides an in-depth overview of the LLaMA architecture, highlighting its improvements over traditional Transformer models. It discusses the multi-scale attention mechanisms and their impact on the efficiency and effectiveness of large language models.
• 📄 LLaMA Open and Efficient Foundation Language Models - 230528 Explore the advancements in open and efficient foundation language models with LLaMA. This slide deck covers the latest research, optimization techniques, and applications of LLaMA in various AI-driven tasks, emphasizing its role in advancing natural language understanding.

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This initial version of the Awesome List was generated with the help of the Awesome List Generator. It's an open-source Python package that uses the power of GPT models to automatically curate and generate starting points for resource lists related to a specific topic.