You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.

This project enhances the llama.cpp quantization process for Mixture of Experts (MoE) models, with a special focus on the Llama-4 Scout model. It adds specialized handling for MoE architectures, ...

PINNs, like other Deep Neural Network (DNN) based models, are typically quantized to reduce its memory footprint and allow models to run on resource (compute, memory, bandwidth, power, etc.) ...

Using special tags embedded in the output, the model directly links every factual claim it makes to the specific source ...

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 ...