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simple-jev

featherless-ai/simple-jev

Turn open models into typed classifiers without a separate head.

Classification & Routing0.74Runner-up: Evaluation & BenchmarkingQuestionnaire
Automated README summary

Automatically summarized from the README on 24 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Simple Jev lets you use compatible Hugging Face open models for structured classification and scoring. It reads next-token logits to produce choices, rubric scores, or truth/support judgments, without training a separate classifier head.

How it uses Jev

The server reads the model's next-token logits for each question and builds a JSON response containing choices, rubric scores, or truth/support judgments. The model does not generate a JSON completion; the server constructs the response from the scores.

Primitives:choicescorenoul

Technique worth stealing

Reuse next-token logits as calibrated decision scores instead of generating text.

Try it

curl https://simple-jev-demo-api.featherless.ai/v1/classifier with a model, state, and questions.

View on GitHub

Start using Jev: API key and your first request →

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 material0.93
  • Shows a System One patternFound in material0.82
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.92
  • Top-10 learning shortlist signalunclear0.41
  • Is a replica of the modelFound in material0.66
  • Solves a common problem (0–2)score on a 0–2 scale1.09 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.93Shows a System One pattern0.82Describes handling uncertainty0.05Reports measured numbers0.05Is a runnable tool0.92Top-10 learning shortlist signal0.41Is a replica of the model0.6600.51Solves a common problem (0–2)1.09 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Check-up0.4100.51

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 24 Sept 2026.