What models are supported by the LitGPT skill?

It supports over 20 major architectures including Llama 3, Gemma, Phi-2, Mistral, Qwen, and Falcon, allowing you to download and use them with a single command.

Does it support model quantization?

Yes, it includes built-in support for 4-bit and 8-bit quantization (using BitsAndBytes) to reduce model size and memory requirements for deployment.

How does LitGPT differ from HuggingFace Transformers?

While HuggingFace offers broad support, LitGPT focuses on 'single-file' implementations with minimal abstractions, making the code much easier to read, debug, and modify for research.

Can I export models for use in other tools?

Absolutely. The skill includes scripts to convert LitGPT checkpoints to GGUF format for use with llama.cpp or standard formats for FastAPI deployment.

Can I run this on a single consumer-grade GPU?

Yes, the skill provides specific workflows for LoRA and QLoRA that enable fine-tuning 7B parameter models on hardware with as little as 12-16GB of VRAM.

LitGPT LLM Implementation & Training

Name: LitGPT LLM Implementation & Training
Author: Orchestra-Research

byOrchestra-Research

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3,983

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Data Science & ML

Implements, fine-tunes, and deploys high-performance Large Language Models using Lightning AI's LitGPT framework.

LitGPT is a specialized Claude Code skill designed for AI researchers and engineers who need to work with diverse LLM architectures without the complexity of heavy abstraction layers. It provides a comprehensive library of over 20 pretrained models, including Llama, Gemma, and Mistral, with streamlined workflows for full fine-tuning, memory-efficient LoRA/QLoRA training, and pretraining from scratch. This skill is particularly useful for those seeking readable, hackable code for educational purposes or for building production-ready training pipelines that require precise control over model parameters and deployment formats like GGUF and quantization.

Key Features

01Memory-efficient fine-tuning with native LoRA and QLoRA support

02Clean, single-file model implementations for research and education

033,983 GitHub stars

04Integrated workflows for pretraining, quantization, and GGUF conversion

05Access to 20+ pretrained architectures including Llama, Gemma, and Phi

06Scalable multi-GPU training support via FSDP and Lightning AI

Use Cases

01Quantizing and exporting trained models for edge deployment via llama.cpp or FastAPI

02Studying and modifying transformer architectures using readable, boilerplate-free code

03Fine-tuning small-scale LLMs like Phi-2 on custom instruction datasets using a single GPU

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add orchestra-research/ai-research-skills litgpt

For use in Claude.ai and ChatGPT

Download Skill