Automated README summary
Automatically summarized from the README on 30 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
TetraJev is a locally-deployed decision layer for bounded decision tasks (state + finite options, K=2..20). It turns two frozen open-weight models into calibrated probability distributions for classification, routing, yes/no gates, entity matching, reranking, and multiple-choice judgment.
How it uses Jev
Jev makes decisions by combining four readings (two readers × two readout structures) fit-free into R4, then routing by agreement (R2: strict/unanimous/split). Split or low-confidence items abstain to human review. The result is a calibrated probability distribution over options, used in code for auto-release or abstention.
Primitives:choicescorenoul
Technique worth stealing
Fit-free fusion of four readings from two frozen models, routed by agreement for calibrated abstention.
Try it
Serve two Qwen3.5 readers via llama.cpp, then run scripts/ runners against a local OpenAI-compatible server.
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 material0.85
- Shows a System One patternFound in material0.81
- Describes handling uncertaintyFound in material0.89
- Reports measured numbersnot found in the excerpt0.13
- Is a runnable toolFound in material0.64
- Top-10 learning shortlist signalunclear0.50
- Is a replica of the modelFound in material0.93
- Solves a common problem (0–2)score on a 0–2 scale1.69 / 2
- About JevFound in material0.87
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 30 Sept 2026.