Automated README summary
Automatically summarized from the README on 21 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
AnyJev is a Python library for developers who need calibrated decisions from open LLMs. It reads a state and a typed question (choice, yes/no, score) and returns a probability distribution over options, either training-free on any model or via self-distilled Tacit checkpoints.
How it uses Jev
The Decider reads a typed Choice/Score/Noul question from a state and returns a distribution over options from the model's next-token logits. L0 applies cyclic-shift marginalization over option rotations plus a label-free prior estimate to reduce order sensitivity; results are labeled raw, L0 or L1 by the debiasing carried.
Primitives:choicescorenoul
Technique worth stealing
Cyclic-shift marginalization over option rotations with a label-free prior estimate removes order and label bias without training.
Try it
pip install "anyjev[hf]", then Tacit.from_pretrained("morriszjm/Tacit-9B").decide(state=..., question=..., options=[...])
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 projectFound in material0.96
- Shows a System One patternnot found in the excerpt0.26
- Describes handling uncertaintynot found in the excerpt0.07
- Reports measured numbersnot found in the excerpt0.13
- Is a runnable toolFound in material0.90
- Top-10 learning shortlist signalunclear0.58
- Is a replica of the modelFound in material0.88
- Solves a common problem (0–2)score on a 0–2 scale1.19 / 2
- About JevFound in material0.96
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 21 Oct 2026.