Evaluation models that run on 128 GB

18 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.

Tools for judging what a model produced: scoring runs, tracing a chain of calls, catching a regression before a user does. Priced per trace or per evaluation. Most use a model as the judge, which is worth knowing, because it means your evaluation has a bill and an opinion of its own.

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Evaluation models Models that run on 128 GB