Maybe I wasn't clear, I think you've misunderstood me. I understand that all sorts of LLMs can be trained using a common corpus of data. But my understanding is that the choice of creating a bitnet LLM must be made at training time, as modifications to the training algorithms are required. In other words, an existing FP16 model cannot be quantized to bitnet.