Train LLMs with Lightning AI

Fine-tune and deploy LLMs with 20+ pretrained architectures and LoRA support

Production-grade fine-tuning without abstraction layer overhead; ideal for understanding model internals.

• · pretrained model name
• · custom dataset (Alpaca JSON)
• · training hyperparameters

• · fine-tuned weights
• · merged LoRA adapters
• · training logs

• · litgpt
• · torch
• · transformers
• · Lightning AI

• · PyTorch 2.0+
• · GPU memory for batch size
• · dataset in supported format

• · CUDA OOM if batch_size not reduced
• · binary wheel unavailable → source build slow

• · 20+ production architectures (Llama, Gemma, Phi, Mistral)
• · LoRA memory efficiency proven
• · Karpathy-quality code readability