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.
7.0
Rating
0
Installs
AI & LLM
Category
Excellent comprehensive skill for LLM implementation and training using LitGPT. The description clearly articulates use cases (clean implementations, educational understanding, production fine-tuning) and the SKILL.md provides detailed, actionable workflows covering fine-tuning, LoRA training, pretraining from scratch, and deployment. Each workflow includes concrete checklists, commands, and code examples. The structure is logical with proper separation of concerns (main workflows in SKILL.md, deep-dive topics in referenced files). Task knowledge is strong with practical guidance on hyperparameters, memory requirements, and troubleshooting. Novelty is moderate-to-good: while LitGPT wraps existing frameworks, navigating 20+ architectures, training recipes, and distributed training configurations would be token-intensive for a CLI agent. Minor deductions for structure (SKILL.md is somewhat long, though still manageable) and novelty (the underlying tasks are relatively standard in the LLM space). Overall, this is a high-quality, production-ready skill that would meaningfully assist users in implementing and training LLMs.
zechenzhangAGI
Skill Author
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