This repository contains resources, code, and documentation related to the applications and comparisons of large language models (LLMs) with a parameter size of 13 billion or below. The primary focus is on fine-tuning these models for various tasks and demonstrating their capabilities in natural language processing.

• Introduction
• Large Language Models
• Fine-Tuning Approaches
• Applications
  • Text Generation
  • Question Answering
  • Sentiment Analysis
  • Summarization
• Getting Started
  • Requirements

We have included detailed results and evaluation metrics for all our experiments in this section. You can compare your results with ours to gauge the performance of your fine-t