Democratizing LLMs: 4-bit Quantization for Optimal LLM Inference

A deep dive into model quantization with GGUF and llama.cpp and model evaluation with LlamaIndex

Image generated by DALL-E 3 by the author

Quantizing a model is a technique that involves converting the precision of the numbers used in the model from a higher precision (like 32-bit floating point) to a lower precision (like 4-bit…