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Glossary

What is small language model (SLM)?

A small language model is a compact LLM — typically a few billion parameters or fewer — designed to run cheaply on local or edge hardware while staying capable for focused tasks.

Small language models trade the broad capability of frontier models for speed, low cost, and the ability to run privately on a laptop, phone, or edge device. For a narrow, well-defined task a fine-tuned small model often matches or beats a much larger general one.

Open SLMs combined with quantization have made capable on-device inference mainstream, which is why they anchor much of the local-LLM ecosystem.

Best local LLM tools →

Trending small language model (SLM) projects

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▌ small language model (SLM) — FAQ

What is small language model (SLM)?
A small language model is a compact LLM — typically a few billion parameters or fewer — designed to run cheaply on local or edge hardware while staying capable for focused tasks. Small language models trade the broad capability of frontier models for speed, low cost, and the ability to run privately on a laptop, phone, or edge device. For a narrow, well-defined task a fine-tuned small model often matches or beats a much larger general one.