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Evaluation models that run on 64 GB

17 models with published weights that fit in 64 GB — a workstation. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 67 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute.

A workstation, or a well-specified Mac. Seventy-billion-parameter models fit at four-bit, which is the class where local output stops being obviously worse than the hosted models people pay for. Loading takes real time and the machine will be warm.

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 modelsModels that run on 64 GB