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Small Language Model

A language model with fewer parameters (typically \<10B) designed for efficiency, lower latency, and often local/edge deployment. Unlike larger models, SLMs can often run on consumer hardware (laptops, phones) without sending data to a cloud provider, changing the privacy and security risk profile.

See: Distillation; Edge deployment; Quantization