A Visual Guide to Quantization

As their name suggests, Large Language Models (LLMs) are often too large to run on consumer hardware. These models may exceed billions of parameters and generally need GPUs with large amounts of VRAM to speed up inference.

As such, more and more research has been focused on making these models smaller through improved training, adapters, etc. One major technique in this field is called quantization.

In this post, author will introduce the field of quantization in the context of language modeling and explore concepts one by one to develop an intuition about the field. He will explain various methodologies, use cases, and the principles behind quantization.

In this visual guide, there are more than 50 custom visuals to help you develop an intuition about quantization!

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General hashtags: #llm #quantization

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