uv-implementing-llms-litgpt

What problem does it solve?

This Skill provides clean, single-file implementations for over 20 LLM architectures, enabling users to understand, implement, and fine-tune models efficiently.

Core Features & Use Cases

• Model Implementation: Access to 20+ pretrained LLM architectures (Llama, Gemma, Phi, Mistral, etc.) with readable code.
• Fine-tuning: Supports full fine-tuning and efficient LoRA/QLoRA methods for custom datasets.
• Pretraining: Enables training new models from scratch on custom data.
• Deployment: Tools for converting and deploying models, including GGUF format.
• Use Case: A researcher wants to understand the internal workings of the Llama 3 model and experiment with fine-tuning it on a specific domain dataset. They can use this Skill to load the base model, prepare their data, and run a LoRA fine-tuning job.

Quick Start

Install LitGPT and load the Microsoft Phi-2 model for text generation.