Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

The difference between an analog wave and its digital representation. Also known as "quantization noise." See quantization. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires ...

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...

advanced-gguf-quantizer is a llama.cpp-derived GGUF quantization toolkit for creating, inspecting, evaluating, repairing, and testing GGUF models. The first focus is Blackwell NVFP4 and the local ...

The maximum error made by an ideal converter when digitizing a signal is ±½ LSB, as shown in the transfer function of an ideal N-bit ADC. The quantization error for ...