Llama Projects

This repository contains a unified collection of Llama-based projects:

1. Dataset Builder: Tools for creating and preprocessing training datasets
2. Llama Fine-tuning: Scripts and utilities for fine-tuning Llama models
3. Llama RAG: Retrieval-Augmented Generation implementation using Llama

Project Structure

.
├── dataset_builder/     # Dataset creation and preprocessing
├── llama_finetune/     # Fine-tuning scripts and configurations
└── llama3_rag_project/ # RAG implementation

Setup

1. Install Poetry if you haven't already:

curl -sSL https://install.python-poetry.org | python3 -

2. Install dependencies:

poetry install

3. Activate the virtual environment:

poetry shell

Usage

Each subproject can be used independently within the unified environment:

• Dataset Builder: Tools for creating training datasets
• Llama Fine-tuning: Fine-tune Llama models on custom datasets
• RAG: Implement retrieval-augmented generation using Llama

See individual project directories for specific usage instructions.