Assuming you mean modular components used with large language models (LLMs): model weights, fine-tuned checkpoints, adapter modules (LoRA / adapters), tokenizer files, and runtime components (quantized binaries, runtime libraries). I’ll cover the top practical ways people obtain these modules, security/privacy considerations, and recommended workflow for safe, reproducible use.