We study low-precision inference, sparse activation, distillation, and routing only under an accuracy-preservation contract.
A smaller memory footprint is useful. A smaller model that quietly loses the properties that made it valuable is not.
Research pages use diagrams, evidence graphs, validators, memory lineage, or concept figures rather than generic atmosphere.
Each research program shows the question, method, metric, and open issue for the work.
Every quantized release is treated as a distinct artifact that must be compared against its higher-precision reference.
We track benchmark deltas, calibration, control-state behavior, long-context regression, code execution, reasoning, and decision hard-fail rates.
Efficient resident models make private Altheon deployments economically plausible, but only after the quality contract passes.
Each research program states the claim under study, the method used to test it, and the evidence that would force revision.
We study low-precision inference, sparse activation, distillation, and routing only under an accuracy-preservation contract.
Locked cases, paired comparisons, hidden worlds, executable validators where possible, and explicit failure classes.
The record separates released claim, evidence class, boundary condition, and access path.
Use the access route for model review, benchmark packet, system walkthrough, or institutional collaboration.
For research program material, request access to the relevant card, benchmark packet, workflow demo, or review session.
