How to Contribute to Lit-GPT and Lit-LLaMA

Lit-LLaMA is an Apache 2.0-licensed rewrite of LLaMA built with Lightning Fabric to improve code readability, optimize training and inference on consumer GPUs, and support commercially usable open-source AI development. The project encourages contributions ranging from documentation fixes, bug reports, and code improvements to reproducible research, pre-training checkpoints, and fine-tuning methods, emphasizing that public pull requests provide verifiable evidence of technical and collaborative skills. It describes open-source participation as an opportunity to learn from a diverse global community, receive feedback from core maintainers, and help make AI progress more transparent and accessible. Contributors can prepare by forking and cloning the GitHub repository, creating development branches, following project guidelines, and submitting pull requests, while users of varying experience levels and hardware capabilities can still identify edge cases, report issues, or contribute features. Lit-LLaMA supports pre-training through a provided training script and parameter-efficient fine-tuning through LoRA and LLaMA-Adapters, although fine-tuning with Meta-provided resources remains subject to LLaMA licensing restrictions until fully open weights are available.

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