Automated README summary
Automatically summarized from the README on 25 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Python-installable runtime that runs System One decision models in Rust and C++ (llama.cpp). You give it a state and typed questions; it returns typed values with probabilities, never free text.
How it uses Jev
Jev takes a state (text, dict, list) plus Choice, Score or YesNo questions. It scores each option key by summed log-probabilities, softmaxes across options, and returns immutable answers with value, probabilities and confidence. The default model supports Choice and YesNo; Score raises UnsupportedRequestError.
Primitives:choicescorenoul
Technique worth stealing
Score each option key by summed token log-probabilities, then softmax; refuse requests the model cannot answer faithfully instead of returning numbers.
Try it
pip install archai-jev, then Jev.from_pretrained() and jev.ask(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-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
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 projectFound in material0.86
- Shows a System One patternunclear0.50
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.03
- Is a runnable toolFound in material0.90
- Top-10 learning shortlist signalnot found in the excerpt0.12
- Is a replica of the modelFound in material0.61
- Solves a common problem (0–2)score on a 0–2 scale1.23 / 2
- About JevFound in material0.98
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 25 Oct 2026.