Gemma time! What are your wishes ?

> \> particularly the 70-72b dense, even more so than the 24-32b dense Yeah :-) both would be great! But I prioritize the 27B for entirely selfish reasons, as that would fit on my 32GB MI50 for fast inference. A 72B dense would definitely be a nice-to-have, but I'm still figuring out the limitations of K2-V2-Instruct, LLM360's 72B dense. It's a **very** clever model, and if Google doesn't give us a large dense Gemma4, we might be able to distill the rumored 120B-A15B into K2-V2-Instruct to get a decent approximation. > \> I don't know, I'm curious, what do you think, regarding the ~27b dense model, do you think it would still somehow be a lot stronger than even Qwen3.5 27b, or only slightly stronger/similar strength? IMO the main strength of Gemma3 wasn't that it did any particular thing best, but rather that it did everything "well enough". Qwen3 had some excellent inference skills, but there were gaps in those skills where it was weak, like editing (rewriting), self-critique, geopolitics, RAG, Theory-of-Mind, and Evol-Instruct. That didn't impact its popularity much, though, because those are somewhat niche skills that most users don't care about. That having been said, Qwen3.5 has closed those gaps. When I evaluated Qwen3.5-27B it exhibited all of those missing skills, and its competence at many of them surpassed Gemma3's. The question is, while Qwen has caught up with Gemma3's diversity of skills, has Google been sitting still? Or will Gemma4 exhibit as much improvement over Gemma3 as Gemma3 did over Gemma2?