Safety classification models that run on 128 GB

5 models with published weights that fit in 128 GB — a large Mac or a server card. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 136 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute.

A large Mac or a server card. This is where the biggest openly published models come within reach — and where the distinction between total and active parameters starts to decide everything, because a mixture of experts computes with a fraction of itself and must still be held whole.

Models that classify content rather than produce it: what is unsafe, what breaks a policy, what should not be shown. They sit in front of or behind a bigger model, are small and cheap by design, and are the part of a system nobody notices until it is wrong. The thing to check is what the model was trained to catch, because policies differ and a guard tuned for one product's rules will be strict in the wrong places for yours.

Wider

Safety classification models Models that run on 128 GB