LitGPT Tutorials
Home
  • Home
  • Zero to LitGPT: Getting Started with Pretraining, Finetuning, and Using LLMs
  • Converting Hugging Face Transformers to LitGPT weights
  • Convert lit models
  • Serve and Deploy LLMs
  • Download Model Weights with LitGPT
  • LLM Evaluation
  • Finetuning
  • Finetuning with Adapter
  • Finetuning the whole model
  • Finetuning with LoRA / QLoRA
  • Inference
  • Oom
  • Preparing Datasets
  • Pretrain LLMs with LitGPT
  • Pretrain TinyLlama
  • LitGPT Python API
  • Quantize the model
  • Resource Tables
    • Index
    • Adding New Models
    • LitGPT High-level Python API
      • Index

Home

  • Home
  • Zero to LitGPT: Getting Started with Pretraining, Finetuning, and Using LLMs
  • Converting Hugging Face Transformers to LitGPT weights
  • Convert lit models
  • Serve and Deploy LLMs
  • Download Model Weights with LitGPT
  • LLM Evaluation
  • Finetuning
  • Finetuning with Adapter
  • Finetuning the whole model
  • Finetuning with LoRA / QLoRA
  • Inference
  • Oom
  • Preparing Datasets
  • Pretrain LLMs with LitGPT
  • Pretrain TinyLlama
  • LitGPT Python API
  • Quantize the model
  • Resource Tables
  • Developer docs
    • Index
    • Adding New Models
    • LitGPT High-level Python API
  • Examples
    • Ptl trainer
      • Index

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