Reading documents models that run on 128 GB

24 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 read documents — scans, photographs of pages, forms, tables — and return text or structure. The interesting difference between them is not whether they can read a clean page, which they all can, but what they do with a table, a stamp, a handwritten margin or a column that breaks across pages. Several are priced per page rather than per token, which makes them easy to budget and hard to compare with the rest.

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Reading documents models Models that run on 128 GB