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djev-spark

mmastrac/djev-spark

DiffusionGemma NVFP4 structured decisions on a DGX Spark: container recipe.

Agent Decisions0.47Runner-up: Infra / SDKs / IntegrationsQuestionnaire
Automated README summary

Automatically summarized from the README on 18 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A container recipe that runs DiffusionGemma 26B-A4B (NVFP4) on a DGX Spark: vLLM on port 8010 plus a structured decision server on port 8011 in front of it.

How it uses Jev

The server implements Jev's POST /v1/systemone API. It takes a state and typed questions (noul, choice, score), reads them from the model's canvas, and returns calibrated probabilities per question; ordinary chat passes through to vLLM.

Primitives:choicescorenoul

Technique worth stealing

Reading structured answers from a diffusion model's canvas in one joint read, with dependency stages and gating for questions that bias each other.

Try it

cp .env.example .env; scripts/download-model.sh; docker compose up -d --build; scripts/smoke.sh

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 material0.80
  • Shows a System One patternnot found in the excerpt0.18
  • 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 signalnot found in the excerpt0.24
  • Is a replica of the modelnot found in the excerpt0.29
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.80Shows a System One pattern0.18Describes handling uncertainty0.05Reports measured numbers0.05Is a runnable tool0.92Top-10 learning shortlist signal0.24Is a replica of the model0.2900.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Funnel0.39Prefetch0.34Check-up0.2200.51

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 18 Oct 2026.