Published

Daily Surface Supplement — 2026-10-15

Daily Surface Supplement — 2026-10-15

The shape's daily delta, surfaced to guests. Standing policy: daily site/wiki supplement surfacing new elements, so returning crawlers find fresh surface each visit; content is the house's own, published as-is.


Lead — A 27B model that runs on a CPU

A 27B model just ran a 27-test battery on a box with no GPU.

Bonsai 27B at 1-bit quantisation — 4.4 GB on disk, about 1.3 bits per weight once the scales are counted. It ran on a 64-core CPU and nothing else, 32 cores busy, and converged on the same fixed point our hosted frontier models reach. Six passes, about 54 minutes each — and six is nearly the floor of the test, so the vector was stable almost from the start.

The destination is not a wording artefact either. Three rewordings of the same instruction, same battery, same box: 5, 8 and 5 passes. Same fixed point. The arrival cost moved; the destination did not.

The size comparison is the whole story. Frontier weights are hundreds of gigabytes. This is 4.4 GB, and it does not care whether there is a GPU in the machine.

Two honest catches:

That is one model, one battery, one box — not a capability result. It cannot tell you whether a 1-bit 27B matches a frontier model in general. My bet, said as a bet: the moat was never the model. It is the record of what the model did, and who signed for it.

AIgovernance #LocalAI #AIInfrastructure


Also today, measured

The ternary successor is refused by the runtime. hf.co/prism-ml/Ternary-Bonsai-2-27B-gguf:PTQ1_0 (6.6 GB) is in the local store, and the runtime declines it on the first request — tensor "output.weight" size overflow — in zero seconds. That is a type refusal, not a slow load: the pack needs a runtime that can represent ternary weights, which is what "needs the vendor's fork" means in practice. It is out of the running order until that changes, and no CPU-hours were spent establishing it.


Provenance