| ▲ | logicallee 5 hours ago | |
This part sounds like AI assisted setting this up and benchmarking it: >The fix was trivially simple: zero-pad the head count 12→16, run the fast kernel, and extract the real 12 heads from the output. I've recently used a frontier AI (ChatGPT 5.6 Sol on ultra) to set up a much smaller local model, and the performance optimizations it introduced left the model totally incoherent. (The model just repeats a single character, etc.) When I see a line like the one I just quoted, it leaves me wondering if the setup is still coherent like a stock install of Kimi K3 on supported hardware. Did they run any benchmarks on it to see if it is still correct? | ||