These models make heavy use of RNG (random number generator), so it would be difficult to fingerprint based on the output tokens. It may be possible to use specially crafted prompts that yield predictable results. Otherwise, just timing how long it takes to generate tokens locally.
There's already so many ways to fingerprint users which are far more reliable though.