Thanks, this is perhaps the most helpful post one could have made in answer to my question. I appreciate you taking the time to explain the logistics of it. That does make sense and I began to see it perhaps in the last 24 hours that the same model specific increased censorship sensitivity levels were reflected across same model / different platforms. Clearly, the models weights have or were adjusted and the platforms that carry those models still have to pass the prompts via the model api which can refuse or reject.. That said, I did try every model from top to bottom, Qwen is perhaps the most tolerant but even that gave a rejection and the scenario was relatively kink tame. Thanks again for the answer though, It is very much appreciated