Small language models

Efficient, lightweight models designed for scenarios with limited computational resources, offering a balance between performance and resource consumption. These models, such as DistilBERT and TinyBERT, provide a streamlined version of larger language models, maintaining essential capabilities while reducing size and complexity. They are particularly beneficial for applications requiring quick deployment and operation on devices with constrained resources, such as mobile phones and edge devices.

Small language models was discovered on January 13th 2025 and it currently has a search volume of 9.9K with a growth of +99X+.