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.
Quickly install implementing-llms-litgpt AI skill to your development environment via command line
Source: ovachiever/droid-tings.
LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production-ready training workflows.
Supported architectures: See references/supported-models.md for complete list of 20+ model families with sizes and capabilities.
Training recipes: See references/training-recipes.md for proven hyperparameter configurations for pretraining and fine-tuning.
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. Source: ovachiever/droid-tings.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/ovachiever/droid-tings --skill implementing-llms-litgptImplements 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. Source: ovachiever/droid-tings.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill implementing-llms-litgpt Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/ovachiever/droid-tings