implementing-llms-litgpt

What problem does it solve?

This Skill provides clean, production-ready implementations for over 20 Large Language Models (LLMs) using Lightning AI's LitGPT, enabling efficient training, fine-tuning, and deployment.

Core Features & Use Cases

• Model Implementation: Access single-file, readable code for architectures like Llama, Gemma, Phi, Mistral, and Qwen.
• Fine-Tuning: Easily fine-tune models on custom datasets using full fine-tuning or efficient LoRA/QLoRA methods.
• Deployment: Convert and deploy models for inference using FastAPI or other frameworks.
• Use Case: You need to fine-tune a Llama 3 model on your company's internal documentation to create a specialized chatbot. This Skill provides the exact code and training scripts to achieve this efficiently.

Quick Start

Use the implementing-llms-litgpt skill to fine-tune the microsoft/phi-2 model on a custom dataset located at data/my_dataset.json using LoRA.