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 LLMs using LitGPT, offering clean code for educational understanding and production-ready workflows for advanced ML research and development.
Features
- Implement and train LLMs with LitGPT
- Utilize 20+ pretrained architectures (Llama, Gemma, Phi, etc.)
- Production-ready fine-tuning with LoRA/QLoRA
- Pretrain new models from scratch
- Deploy models via API
Use Cases
- When needing clean, educational understanding of LLM architectures
- For production fine-tuning with efficient methods like LoRA/QLoRA
- When prototyping new model ideas or adapting existing architectures
- To leverage a unified framework for various LLM training tasks
Non-Goals
- Providing abstraction layers beyond clean model implementations
- Supporting every possible LLM architecture not covered by LitGPT
- Complex, multi-agent research orchestration (handled by other skills)
Installation
First, add the marketplace
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs/plugin install AI-Research-SKILLs@ai-research-skillsQuality Score
VerifiedTrust Signals
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