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Qwev

HopLee6/Qwev

Training-free Qwen-based Jev for typed decisions.

Agent Decisions0.28Runner-up: Infra / SDKs / IntegrationsQuestionnaire
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

Qwev turns dense Qwen3 and Qwen3.5 checkpoints into a local service that answers typed decision questions (Noul, Choice, Score) without autoregressive decoding, for developers needing fast, structured outputs.

How it uses Jev

Jev-style decisions are made by reading candidate-token logits from the model. The state is encoded once, then each isolated question (Choice, Noul, Score) is evaluated separately. Results are softmax distributions over allowed answer tokens, returned as typed answers.

Primitives:choicescorenoul

Technique worth stealing

Read allowed answers directly from candidate-token logits instead of generating and parsing JSON.

Try it

pip install -e . then run qwev --model-path /models/Qwen3.5-9B --request examples/basic.json --mode shared

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 material0.95
  • Shows a System One patternFound in material0.89
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersFound in material0.98
  • Is a runnable toolFound in material0.77
  • Top-10 learning shortlist signalunclear0.48
  • Is a replica of the modelFound in material0.93
  • Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.95Shows a System One pattern0.89Describes handling uncertainty0.04Reports measured numbers0.98Is a runnable tool0.77Top-10 learning shortlist signal0.48Is a replica of the model0.9300.51Solves a common problem (0–2)1.04 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Check-up0.31Prefetch0.2000.51

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.