Within the constraint of 16GB VRAM or less, I have compared models many times. Each time, the one that remained on the throne of practicality was GPT-OSS 20B. I have treated it as a model with no ...

What the MVL Drops No mutable closures, no list comprehensions, no decorators, no operator overloading, no implicit conversions, no default arguments, no variadic arguments, no macros, no ternary ...

Here's a dumb idea that turned out to work. A GPU virtual machine with exactly one instruction, so that divergence stops being something I ever have to think about. Sometimes you have to run a program ...

This decrease is mainly attributable to the irregular memory-access patterns of DCNv2 deformable convolution within TADDH, compounded by the small operator-launch overhead introduced by DySample ...