I have moved through the local models at this size.
This one is by far the most capable. I've tried various versions of gemma4.26b, various versions of qwen3.5-27/35b (qwopus's galor),nemotron,phi,glm4.7.
This one is noticeably better as an agent. It's really good at breaking down tasks into small actionable steps, and - where there is ambiguity - asks for clarification. It's reasoning seems more solid than gemma4, tool use, multi-messaging/longer chain thinking.
I am excited to see what other versions of this model people train!
I try not to use publicly hosted models, and I avoid the SOTA data harvesting machine... so I can not compare. I can compare only to local models. And this one feels like a decently significant leap compared to 3.5 or gemma4.
I see there is now a distilled reasoning model version on hugging-face. I may look into that, but I have not seen a need to reach for that change yet either...
This one is by far the most capable. I've tried various versions of gemma4.26b, various versions of qwen3.5-27/35b (qwopus's galor),nemotron,phi,glm4.7.
This one is noticeably better as an agent. It's really good at breaking down tasks into small actionable steps, and - where there is ambiguity - asks for clarification. It's reasoning seems more solid than gemma4, tool use, multi-messaging/longer chain thinking.
I am excited to see what other versions of this model people train!