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aitherkvcache(tool, public)

Near-optimal KV cache quantization for LLM inference — sub-byte compression.

Name

aitherkvcache — Near-optimal KV cache quantization for LLM inference — sub-byte compression.

The problem it solves

KV cache, not weights, is what runs a GPU out of room during real serving, and it grows with every token of every concurrent request.

Instead of trusting / you check

instead of trusting
a vendor's quantisation defaults
you check
sub-byte KV cache kernels you can benchmark yourself

Adopt it alone

Quantize the cache on one model you already serve and measure the headroom.

Install

install
pip install aither-kvcache

Where it sits in the path

  • Not on the path yet — reference only.

See also

awnode

Generated 2026-09-14 00:48Z from the ecosystem registry. A field here that is wrong is wrong in the registry — fix it there and this page follows.

One estate, 8 doors

These projects are organs of the same system — the same identity plane, the same agent runtime, the same operational discipline. Follow any of them.

The ecosystem this belongs to

Every Aitherium repository publishes an aither-manifest.json beside its page, and each surface reads all of them — so the network is browsable from any node in it.