Evaluating Sub-3B Parameter Language Models on Math Word Problems

With the increasing deployment of language models in edge devices and resource-constrained environments, the demand for highly capable small language models (SLMs) has grown significantly. Although recent large-language models (LLMs) have demonstrated

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Published
2025-08-25
DOI
https://doi.org/10.36227/techrxiv.174784516.63924061/v2
Primary Topic
Natural Language Processing Techniques
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article
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article

Evaluating Sub-3B Parameter Language Models on Math Word Problems

Harshit Shah
Natural Language Processing Techniques
article

Evaluating Sub-3B Parameter Language Models on Math Word Problems

Harshit Shah
article en

Abstract

With the increasing deployment of language models in edge devices and resource-constrained environments, the demand for highly capable small language models (SLMs) has grown significantly. Although recent large-language models (LLMs) have demonstrated

Birla Institute of Technology and Science, Pilani (IN)
Quality Education
Openalex Percentile: Top 89%
Natural Language Processing Techniques
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Evaluating Sub-3B Parameter Language Models on Math Word Problems — Harshit Shah · (2025) | TGRS Research Map | TGRS