metadata
license: apache-2.0
library_name: transformers
tags:
- decision-model
- calibration
- system-one
- structured-decisions
Arbit base checkpoints
Starting weights for Arbit, a non-autoregressive decision engine: one
forward pass answers several typed questions (choice, score, noul) about a shared state and returns a
calibrated probability distribution for each.
| path | checkpoint | encoder | context |
|---|---|---|---|
| repo root | English general | ModernBERT-large (421M) | 512 tokens |
typed-decisions/ |
fine-tuned on the typed-decisions benchmark's train split | ModernBERT-large (421M) | 1024 tokens |
import arbit
agent = arbit.load("juteq/arbit-base") # English
tuned = arbit.load("juteq/arbit-base", subfolder="typed-decisions")
Provenance
These files are redistributed unmodified from a publicly released Apache-2.0 checkpoint; JUTEQ did not train them. They are published here so that training runs that start from them are reproducible. The encoder is answerdotai/ModernBERT-large (Apache-2.0).
Models trained by JUTEQ are published separately.
Known limits
- English only.
typed-decisions/is fine-tuned on four synthetic workflows; its scores measure agreement with that benchmark's teacher model, not correctness.- Probabilities need temperatures fitted on your own held-out data; the shipped ones were fitted elsewhere.
License: Apache-2.0 (see LICENSE in this repository).