Q2 quantization is basically giving a capable model a lobotomy. It will not accurately represent how smart or capable something like qwen 3.8 27B in Q8 will be.
Given 16GB of VRAM, what will give me the best experience in OpenCode? Currently using Qwen3.8_Q_3
This person has basically run into the limit of state of the art for even a modestly sized local model (this isn't deepseek v4 flash 0731 Q8 which I am running myself locally on a great deal more hardware), this is a 27B dense, but they're just not going to have a good time if they expect good quality results out of a Q2. The choices are either upgrade hardware or pay for external inference.