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The article questions why ternary language models like BitNet have not scaled beyond 2B parameters, given their initial promise, and discusses the apparent lack of progress from open-weight AI labs.
Bitnet.cpp presents a mixed-precision matrix multiplication library for efficient edge inference of ternary LLMs like BitNet b1.58, achieving up to 6.25x speedup over full-precision baselines. The system is open-sourced on GitHub.