implementing-llms-litgpt

8.1

121

290

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.

LLM training

8.1

Rating

Installs

AI & LLM

Quick Review

Excellent skill for implementing and training LLMs with LitGPT. The description clearly identifies use cases (clean implementations, education, production fine-tuning), and SKILL.md provides comprehensive workflows covering fine-tuning, LoRA training, pretraining from scratch, and deployment. Each workflow includes concrete code examples, command-line instructions, and troubleshooting. Structure is logical with good separation of concerns (4 workflows + common issues + advanced topics redirected to reference files). Task knowledge is strong with detailed steps, parameter explanations, and hardware requirements. Novelty is moderate-to-good: while LitGPT itself provides clean interfaces, this skill packages workflows, best practices, and decision trees that would require significant token expenditure for a CLI agent to discover through trial-and-error. Minor improvements possible: could add more decision criteria for model selection and workflow choice upfront, and slightly more context on when LitGPT's simplicity beats feature-rich alternatives.