This tutorial delves into Meta AI's groundbreaking open-source model, Llama 3.1, and its integration with Aider to develop a fully local full-stack application using Ollama. We’ll provide an overview of the Llama 3.1 model and Aider, then demonstrate how to create powerful full-stack applications without writing a single line of code, all within the Visual Studio Code platform.
Meet Llama 3.1: The Latest in AI Innovation
Llama 3.1 is available in three sizes: 405B, 70B, and 8B parameters. Each model size is designed to meet different needs, from lightweight applications to highly complex tasks.
- 405B: This flagship foundation model drives a wide variety of use cases and is on par with other top-tier closed-source models, making it ideal for building robust applications.
- 70B: A highly performant and cost-effective model that supports diverse use cases.
- 8B: A lightweight, ultra-fast model suitable for running anywhere.
Performance Benchmarks
Llama 3.1 excels across multiple categories, demonstrating superior performance compared to other models. Here's a snapshot of how it stacks up:
Harnessing the Power of Aider
Aider is a powerful tool that allows you to pair program with large language models (LLMs), enabling seamless code writing and editing.
Key Features of Aider
- Easy Integration: Run Aider with the files you want to edit using
aider <file1> <file2> .... - Versatile Requests: Ask Aider to add new features, describe bugs, refactor code, update documentation, and more.
- Automated Git Commits: Aider automatically commits changes with sensible commit messages.
- Wide Language Support: Works with popular languages like Python, JavaScript, TypeScript, PHP, HTML, CSS, and more.
- Compatibility with Major LLMs: Best with GPT-4o and Claude 3.5 Sonnet, Aider can connect to almost any LLM.
- Complex Edits: Capable of editing multiple files simultaneously for complex requests.
- Codebase Mapping: Uses a map of your entire git repository for efficient operation in larger codebases.
- Live Updates: Edit files in your editor while chatting with Aider, ensuring it always uses the latest version.
- Visual Enhancements: Add images to the chat for more interactive pair programming.
Ollama
Aider can connect to local Ollama models.
# Pull the model
ollama pull llama3.1:8b
# Start your ollama server
ollama serve
# In another terminal window...
pip install aider-chat
export OLLAMA_API_BASE=http://127.0.0.1:11434 # Mac/Linux
setx OLLAMA_API_BASE http://127.0.0.1:11434 # Windows, restart shell after setx
aider --model ollama/llama3.1:8b