I don't think llama.cpp supports any of the LongCat models, actually.
They haven't posted weights/inference solutions for LongCat-2.0 [1], but LongCat-Next had transformers support, which I assume means it works with vLLM/SGLang.
Given it's 1.6T, "common hardware" is probably out of the question; even 2bpw is going to measure out at 400GB, even before considering the bandwidth requirements for 48B active. I haven't read the LongCat-2.0 architecture docs, but if you're not running GLM-5.2, you're probably not running this either.
At UVA many years ago, one of my roommates was one of the unfortunate 20 or so annually expelled -- the only outcome of being convicted of breaking the "no cheating, stealing, or lying" honor code. It didn't take repeat offenses, expulsion was a first offense consequence.
Interestingly, it seems like you weren't joking about the decline:
> Finally in the spring of 2022, a sanction reform referendum succeeded with more than 80% of the vote, changing the penalty for an Honor violation from expulsion to a two semester suspension. [1]
The reasoning generally isn't kept in the context, so after choosing the secret word in the first reasoning block, the LLM will have completely forgotten it in the second and subsequent requests.
So, it technically didn't change the secret word so much as it was trying to infer what its own secret word might have been, based on your guesses.
Epic Anti-Cheat fully supports Linux[1]. I believe what the GP comment means is that the Fortnite publishers opted not to tick the “allow Linux” checkbox on the developer portal website.
There is probably more nuance behind that decision than I’m giving them credit for, but from a technical standpoint it’s just a checkbox.
They haven't posted weights/inference solutions for LongCat-2.0 [1], but LongCat-Next had transformers support, which I assume means it works with vLLM/SGLang.
Given it's 1.6T, "common hardware" is probably out of the question; even 2bpw is going to measure out at 400GB, even before considering the bandwidth requirements for 48B active. I haven't read the LongCat-2.0 architecture docs, but if you're not running GLM-5.2, you're probably not running this either.
[1] https://huggingface.co/meituan-longcat/LongCat-2.0: "Model weights coming soon — stay tuned!"