BitNet: Scaling 1-bit Transformers for Large Language Models
was actually binary (weights of -1 or 1), The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
This seems to be first source of the confounding of "1-bit LLM" and ternary weights that I could find. In this work, we introduce a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}.
Private planes can do the same thing.