| --- |
| license: apache-2.0 |
| library_name: transformers |
| tags: [decision-model, calibration, system-one, structured-decisions] |
| --- |
| |
| # Arbit base checkpoints |
|
|
| Starting weights for [Arbit](https://github.com/juteq/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 | |
|
|
| ```python |
| 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](https://huggingface.co/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). |
|
|
