Model Showdown Round 2: Adding Gemma, Kimi, and 579 GB of Stubborn Optimism

At the end of Round 1, we promised a rematch. More models. Fixed settings. Harder questions about what "local inference" really means when you push past what fits in VRAM. This is that rematch. We added two models that the Coder dev team specifically requested: Gemma 4 from Google (27B parameters, fits comfortably on the RTX 5090) and Kimi K2 from Moonshot AI (1 trillion parameters, does not fit in anything reasonable). We also reran every model from Round 1 with fixes for the configuration issu