| --- |
| title: decider-4b systemone |
| emoji: ⚖️ |
| colorFrom: indigo |
| colorTo: gray |
| sdk: gradio |
| sdk_version: 5.49.1 |
| app_file: app.py |
| pinned: false |
| license: apache-2.0 |
| short_description: Jev-shaped choice/score/noul decisions on decider-4b |
| --- |
| |
| # decider-4b, in Jev's shape |
|
|
| A typed-decision service wrapping |
| [`Mapika/decider-4b`](https://huggingface.co/Mapika/decider-4b) (4B dense, Qwen3.5-4B-Base, |
| Apache 2.0) on ZeroGPU. |
|
|
| Give it a `state` and typed `questions`; get probabilities and confidence back. No text |
| generation, so nothing to parse and nothing to hallucinate. |
|
|
| | type | question | answer | |
| |---|---|---| |
| | **choice** | which of these options? | the option, a probability per option, confidence | |
| | **score** | where on this rubric? | a position along your levels, distribution | |
| | **noul** | is this true? | `noul`: the probability that it is | |
|
|
| ## Why this Space exists |
|
|
| `decider-4b` is one of the open "System One" models benchmarked against Jev. This wrapper |
| adds the pieces the raw checkpoint leaves to the caller, so it can be scored on the same |
| harness as everything else: |
|
|
| - the endpoint signature mirrors `dkappe/IDU`'s `systemone` (`state`, `questions`, three |
| temperature overrides) and returns the same `(table, raw-json)` tuple, so one harness |
| drives both without a special case; |
| - **per-answer-type temperature** is honoured. `decider_config.json` carries |
| `temperature_by_type` `{choice: 1.11, noul: 1.56, score: 1.287}`; serving everything at the |
| single fitted `1.099` flattens the yes/no and Score probabilities. Pass `0` for a |
| temperature to keep the checkpoint's value. |
| - the TypeSafe response shape (`choice` / `confidence` / `probabilities`, `score` + |
| `legend`, `noul` as a probability) is produced by the authors' own `systemone.py`. |
|
|
| ## Endpoints |
|
|
| - `systemone` — `(state_text, q_text, tc, ts, tn) -> (answers_table, raw_json)` |
| - `health` — device, checkpoint version, temperatures in force |
|
|
| ## Capacity |
|
|
| `max_options` 255, `max_state_tokens` 32768. This model has no small option-count cap: the |
| 16-option ceiling that stops Plumb 4B and SemIf does not apply here, and neither does |
| Nimble's 8K input limit. |
|
|
| ## Notes |
|
|
| - Scoring path is the authors' reference implementation, vendored verbatim in `decider/` |
| from the model repository (Apache-2.0). Deviations are documented in `app.py`. |
| - The checkpoint is loaded once at module scope and moved to CUDA eagerly, which is the |
| pattern the official decider demos use on ZeroGPU. |
| - Apache 2.0, weights and wrapper both. |
|
|
