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open-source-model-deploy

KratosLee-6/open-source-model-deploy

Dynamic model/hardware feasibility checker with Jev-style decision model support.

Agent Decisions0.37Runner-up: Scoring & Ranking
Automated README summary

Automatically summarized from the README on 31 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Python tool that dynamically assesses deployment feasibility for 168 open-source models, including 12 Jev/System One decision models. It detects hardware, generates deploy scripts, and offers CLI, MCP, and HTTP interfaces for developers and AI agents.

How it uses Jev

For the 12 decision models, Jev-style decisions (noul/choice/score) are made on a given state plus typed questions. The `osm-deploy ask` client sends these to each model's real endpoint (/v1/completions with logprobs, /v1/decide, or /v1/systemone), handles single- vs multi-question APIs, and returns normalized calibrated probabilities.

Primitives:choicescorenoul

Technique worth stealing

Unified client normalizes single- and multi-question decision APIs into calibrated probabilities.

Try it

pip install open-source-model-deploy; osm-deploy list; osm-deploy detect; osm-deploy ask

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 projectnot found in the excerpt0.13
  • Shows a System One patternnot found in the excerpt0.17
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.26
  • Is a runnable toolFound in material0.92
  • Top-10 learning shortlist signalnot found in the excerpt0.13
  • Is a replica of the modelnot found in the excerpt0.15
  • Solves a common problem (0–2)score on a 0–2 scale1.21 / 2
  • About JevFound in material0.89
Signals
Jev is core to the project0.13Shows a System One pattern0.17Describes handling uncertainty0.04Reports measured numbers0.26Is a runnable tool0.92Top-10 learning shortlist signal0.13Is a replica of the model0.1500.51Solves a common problem (0–2)1.21 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.47Ghostwriter0.40Check-up0.38Blind review0.29Prefetch0.25Questionnaire0.2300.51

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 31 Oct 2026.