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Characterizing and Understanding the Performance of Small Language Models on Edge Devices

Research article (2024 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2024) · cited 10× · AI/ML
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Characterizing and Understanding the Performance of Small Language Models on Edge Devices

Summary

Characterizing and Understanding the Performance of Small Language Models on Edge Devices is a scholarly article[1].

Key Facts

  • Characterizing and Understanding the Performance of Small Language Models on Edge Devices's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Characterizing and Understanding the Performance of Small Language Models on Edge Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterizing-and-understanding-the-performance-of-small-language-models-on-edge-devices
MLA “Characterizing and Understanding the Performance of Small Language Models on Edge Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterizing-and-understanding-the-performance-of-small-language-models-on-edge-devices.
BibTeX @misc{4ortxyz_characterizing-and-understanding-the-performance-of-small-language-models-on-edge-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterizing and Understanding the Performance of Small Language Models on Edge Devices}}, year = {2026}, url = {https://4ort.xyz/entity/characterizing-and-understanding-the-performance-of-small-language-models-on-edge-devices}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterizing and Understanding the Performance of Small Language Models on Edge Devices — https://4ort.xyz/entity/characterizing-and-understanding-the-performance-of-small-language-models-on-edge-devices (retrieved 2026-05-24)

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