Automated README summary
Automatically summarized from the README on 20 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A family of open models (2B to 35B) fine-tuned from Qwen3.5 that read a state and typed questions and return probability distributions for each question, for developers needing fast, calibrated choices.
How it uses Jev
Jev makes one forward pass over a state and typed questions (Choice, Score, Noul) and returns calibrated probabilities per option. In code, `Decider.decide(state, questions)` returns choices with confidence and full probability maps, used directly without decoding or parsing.
Primitives:choicescorenoul
Technique worth stealing
Fine-tuning a base model to emit typed decisions with calibrated probabilities in a single forward pass, avoiding text generation and parsing.
Try it
pip install decider-ai, then use `Decider("Mapika/decider-2b").decide(state, questions)`.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectunclear0.58
- Shows a System One patternFound in material0.67
- Describes handling uncertaintynot found in the excerpt0.05
- Reports measured numbersnot found in the excerpt0.08
- Is a runnable toolnot found in the excerpt0.38
- Top-10 learning shortlist signalnot found in the excerpt0.07
- Is a replica of the modelFound in material0.83
- Solves a common problem (0–2)score on a 0–2 scale1.19 / 2
- About JevFound in material0.85
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Oct 2026.