That's not how the censorship works, the model doesn't know. Either some information has been excluded from training data set, some answers penalized in training or, most commonly, just another LLM/simple regex on the output that cuts out the response
I’m talking about pruning a local LLM not using their service. There are plenty of ways to prune and distill. Heck DeepSeek was distilled from other models. You could simply run a distillation using Hex, then convert those outputs back to the target language.
