lightweight 8.3b model

A "lightweight 8.3B model" refers to a machine learning model—typically a large language model—that has 8.3 billion parameters but is optimized to be more efficient or easier to deploy than a standard model of the same size. The term *lightweight* indicates that it requires less memory, computational power, or energy to run, while *8.3B* specifies the approximate number of parameters (weights) in the neural network. These models are often designed to achieve good performance while remaining practical for use on smaller hardware setups or applications needing faster inference.