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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Public report from Microsoft with 5 connected researchers in the LLMpeople atlas.

MicrosoftUndated5 researchers
Field
Unspecified
Organization
Microsoft
arXiv
2402.17764

Canonical link

https://arxiv.org/abs/2402.17764

Connected researchers

Dong, Li portrait
Researcher 2 reports

Dong, Li

Microsoft

Li Dong is a Microsoft Research principal researcher focused on human language technologies and machine intelligence.

Microsoft
Huang, Shaohan portrait
Researcher 3 reports

Huang, Shaohan

Microsoft

Shaohan Huang is a senior researcher in the General Artificial Intelligence Group at Microsoft Research Asia in Beijing. OpenReview lists him as a Microsoft researcher and a former master's student at Beihang University.

Microsoft
Ma, Shuming portrait
Researcher 2 reports

Ma, Shuming

Microsoft

Co-author of the BitNet b1.58 2B4T Technical Report; the paper's author note states that S. Ma is with Microsoft Research.

Microsoft
Wang, Wenhui portrait
Researcher 1 reports

Wang, Wenhui

Microsoft

Co-author of "The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits"; the paper's author notes list Wenhui Wang with Microsoft Research.

Microsoft
Xue, Jilong portrait
Researcher 1 reports

Xue, Jilong

Microsoft

Co-author of "The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits"; the paper states J. Xue is with Microsoft Research.

Microsoft

LLMpeople is a public atlas for discovering frontier AI researchers with context, provenance, and respect.

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