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Well-documented code with descriptive comments. Complexity annotations and usage examples included. Input validation for robust solutions. Version control history with dated commits for each change.

The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.