this is what makes the minterm computation natural. the ITE tree already partitions the character space into equivalence classes. to get the minterms, you just read them off the tree. there’s no separate “figure out which characters behave the same” step - the symbolic derivative is the partition.
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It’s an open source model, so surely there should be some training code online. But it turns out there isn’t really any. LLaMA-Factory + KTransformers is supposed to support it, but I encountered a bunch of bugs. Also, it’s designed for CPU offloading + GPU training, which adds unnecessary complexity and is inefficient.，详情可参考手游
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