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LITGPT
Train, fine-tune, and serve open LLMs with minimal abstraction
Apache-2.0
ABOUT
Teams working with open LLMs often need one toolchain for inference, another for fine-tuning, and a third for scaling training across accelerators, which adds glue code and hides core model logic behind heavy abstractions. LitGPT provides transparent, high-performance implementations and recipes so developers can train, adapt, and deploy modern open models in one workflow.
INSTALL
pip install 'litgpt[extra]'INTEGRATION GUIDE
1. Fine-tune open LLMs with LoRA, QLoRA, adapter, or full-tuning recipes
2. Pretrain or continue training language models across multi-GPU or TPU setups
3. Run quantized inference for open models with lower memory requirements
4. Experiment with transparent reference implementations instead of heavyweight frameworks
TAGS
pythonfine-tuningllmpretrainingquantizationinferencepytorchopen-source