Small Language Models for Edge AI: On-Device Inference Guide
This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.
How to run compact LLMs on phones and edge hardware with quantization, latency trade-offs, and framework options. A small language model (SLM) is a compact neural network, typically between 1 billion and 13 billion parameters, designed to run directly on edge devices including smartphones, robots,…
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- 2026-08-26 06:33 · DEV Community — Machine Learning
Small Language Models for Edge AI: On-Device Inference Guide