• Computer Science > Computation and Language [Submitted on 28 Jan 2026] Title:Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings View PDFAbstract:Knowledge distillation offers a transformative pathway to developing powerful, yet efficient, small language models (SLMs) suitable for resource-constrained environments. • In this paper, we benchmark the performance and computational cost of distilled models against their vanilla and proprietary counterparts, providing a quantitative analysis of their efficiency. • Our results demonstrate that distillation creates a superior performance-tocompute curve. • We find that creating a distilled 8B model is over 2,000 times more compute-efficient than training its vanilla counterpart, while achieving reasoning capabilities on par with, or even exceeding, standard models ten times its size. • These findings validate distillation not just as a compression technique, but as a primary strategy for building state-of-the-art, accessible AI References & Citations export BibTeX citation Loading… • Bibliographic and Citation Tools Bibliographic Explorer (What is the Explorer?) Connected Papers (What is Connected Papers?) Litmaps (What is Litmaps?) scite Smart Citations (What are Smart Citations?) Code, Data and Media Associated with this Article alphaXiv (What is alphaXiv?) CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub (What is DagsHub?) Gotit.pub (What is GotitPub?) Hugging Face (What is Hug
Article Summaries:
- Computer Science > Computation and Language [Submitted on 28 Jan 2026] Title:Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings View PDFAbstract:Knowledge distillation offers a transformative pathway to developing powerful, yet efficient, small language models (SLMs) suitable for resource-constrained environments. In this paper, we benchmark the performance and computational cost of distilled models against their vanilla and proprietary counterparts, providing a quantitative analysis of their efficiency. Our results demonstrate that distillation
Sources:
- https://arxiv.org/abs/2602.20164 (Latest source article published: 2026-02-25 05:00 UTC)