Yep, add a few blank layers, fine tune it a tiny bit and the weight checksums nor parameter counts won't match with anything, while the model will be practically the exact same. Time and time again random startups have tried passing established open models as their own.
reply"You made this? I made this."
Of course a conspicuous architecture would still give it away.
someone can run tests and see that models output exactly the same results, and then you are open to criminal investigation.
replyOn something that is inherently non-deterministic? Something which is also to a great extent distilled from other frontier models, meaning it has the possibility to generate similar outputs to those meaning that just pattern detection might also not be as effective? Easier to ban everything that’s open, than try to figure out which one of them is Chinese
replyNow imagine prosecutor found expert, who said there is benchmark which while performing 100k test questions found it is the same model with 98% probability, and then you need under oath testify where did you get this model.
replyStep 1: Chinese company publishes open weights on HF
replyStep 2: European company distills or just adjusts the model slightly, and publishes its model on HF
Step 3: American company uses model from step 2. Has to testify under oath where they got it from. "We got it from these French guys"
That French guy takes risk to be forever under US warrants for breaking American law, denied access to financial institutions even in Europe and will quickly go to some KYC entity list, and you will be notified as his clients to stop using his model.
replyOr you think all kind of fraud can be committed through some "french guy"?
Models don't even agree with themselves in terms of returning identical results
replyExcept that even the exact same model won't output the exact same results, that's a fundamental aspect of how LLMs work. They're probabilistic/stochastic, not deterministic.
replyModels are weights for matrix operations, they are determenistics.
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