Implementing Llms Litgpt
원문: implementing-llms-litgpt
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 implementatio
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LitGPT Clean LLM Implementations Quick start LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production ready training workflows. Installation : Load and use any model : List available models : Common workflows Workflow 1: Fine tune on custom dataset Copy this checklist: Step 1: Download pretrained model Models are saved to checkpoints/ directory. Step 2: Prepare dataset LitGPT supports multiple formats: Alpaca format (instruction response): Save as data/my dataset.json . Step 3: Configure training Step 4: Run fine tuning Training saves checkpoints to out/finetune/ automatically. Monitor training: Workflow 2: LoRA fine tuning on single GPU Most memory efficie…
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