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Jinheng Wang

1 accepted papers

2025

Bitnet.cpp: Efficient Edge Inference for Ternary LLMs

ACL 2025long

The advent of 1-bit large language models (LLMs), led by BitNet b1.58, has spurred interest in ternary LLMs. Despite this, research and practical applications focusing on efficient edge inference for ternary LLMs remain scarce. To bridge this gap, we introduce Bitnet.cpp, an inference system optimiz…