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Hymba: A Hybrid-head Architecture for Small Language Models research paper by NVIDIA, 2024

NVIDIA · Architectures · Nov 20, 2024 · 126 citations · 50 upvotes · unverified

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What it shows

Hymba, a family of small language models with a hybrid-head architecture combining transformer attention and state space models, achieves state-of-the-art performance with improved efficiency and reduced cache size.

By Xin Dong, Yonggan Fu, Shizhe Diao and 10 more · arXiv 2411.13676 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Venue
International Conference on Learning Representations
Citations
126, 12 influential · Semantic Scholar
Upvotes
50 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

CitationsNov 2, 2026Citations rose from 121 to 126.
CitationsOct 12, 2026Citations rose from 119 to 121.
CitationsOct 5, 2026Citations rose from 117 to 119.
CitationsSep 28, 2026Citations rose from 115 to 117.
CitationsSep 25, 2026A first count of 12 influential citations.
CitationsSep 25, 2026A first count of 115 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.