Implementing Llms Litgpt
Skill Verified ActiveImplements 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.
To enable users to easily implement, train, and fine-tune a wide variety of LLM architectures using clean, production-ready code and efficient workflows.
Features
- Implements 20+ pretrained LLM architectures
- Supports LoRA and QLoRA fine-tuning
- Provides pretraining and deployment workflows
- Clean, single-file implementations
- Educational understanding of architectures
Use Cases
- Need clean model implementations for LLMs
- Educational understanding of model architectures
- Production fine-tuning with LoRA/QLoRA
- Prototyping new model ideas
Non-Goals
- Acting as a thin wrapper around an API
- Bundling unrelated capabilities
- Operating on personal data
Installation
npx skills add davila7/claude-code-templatesRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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