LitGPT Implementing LLMs

LitGPT Implementing LLMs is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars838 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/07/19+1% in starsRepository updated 2026/06/16

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Install in seconds

Install LitGPT Implementing LLMs

Copy LitGPT Implementing LLMs into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/01-model-architecture/litgpt ~/.claude/skills/litgpt

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: 01-model-architecture/litgpt/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to: ~/.claude/skills/litgpt
Collection: One of 50 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What LitGPT Implementing LLMs does

Implements and trains LLMs with LitGPT’s clean single-file model code. Use it for understanding architectures, fine-tuning with LoRA/QLoRA, or pretraining and deploying models.

LitGPT Implementing LLMs is cataloged under AI Engineering on DirSkills. LitGPT Implementing LLMs comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

Excerpt

LitGPT - Clean LLM Implementations

Quick start

LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production-ready training workflows.

Installation:

pip install 'litgpt[extra]'

Load and use any model:

from litgpt import LLM

# Load pretrained model
llm = LLM.load("microsoft/phi-2")

# Generate text
result = llm.generate(
    "What is the capital of France?",
    max_new_tokens=50,
    temperature=0.7
)
print(result)

List available models:

litgpt download list

Common workflows

Workflow 1: Fine-tune on custom dataset

Copy this checklist:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LitGPT Implementing LLMs

What else does Orchestra-Research publish alongside LitGPT Implementing LLMs?
LitGPT Implementing LLMs is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way LitGPT Implementing LLMs does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.
How does LitGPT Implementing LLMs compare to other AI Engineering skills?
LitGPT Implementing LLMs ranks #341 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LitGPT Implementing LLMs against them. Open each page to compare what they document and how they install.