All decision model projects

Reproducible MLX and Colab recipes that turn Qwen decoders into Jev-like typed decision models, from 0.5B on a laptop to a noncausal 27B.

Open Jev-style text-and-image decision models built by a self-improving AI research loop, with an effort setting that picks depth.

Paused C#/.NET 10 non-autoregressive decision engine running a Laya/mmBERT checkpoint locally, returning Choice, Score and Boolean answers.

Chinese multimodal moderation research pairing a Qwen3-VL LoRA evidence extractor with Jev policy decisions, benchmarked against baselines.

StartLux's open typed decision models from 0.8B to 27B plus a 35B-A3B MoE, reading text, JSON or images up to 256K tokens.

Reproducible test of SubQ Snap and Jev on 3,840 questions about a fictional store's event log from 2K to 360K tokens of context.

Open System One model and MLX runtime returning calibrated choice, score and noul probabilities via a Jev-compatible API.

Gemma 4 12B with its LM head replaced by a small answer head, serving Jev-style noul, choice and score decisions with custom code.

Harness where Jev or Laya pick DOOM tactics and targets from legal options while a deterministic controller presses buttons.

Together AI's experimental Qwen3.5 fine-tunes (4B and 0.8B) that pick one lettered option from a state, question and option list.

Open 1.9B typed-decision model that returns an option index and calibrated probability in one forward pass, with a paper and API.

Open Jev-style decision models with vision (Qwen3.5 4B/9B LoRA) serving Choice, Score and Noul on /v1/systemone.

SemIf (formerly OpenJev): reads typed option probabilities directly from open models like Qwen3.5-4B, including image inputs, on a home GPU.

Open Apache-2.0 4B decision model (Wald-Q4B) served via a Jev-compatible API, thinking only when unsure, with JevBench 210/231.

Open Apache-2.0 browser-agent decision model (Qwen3.5-35B-A3B fine-tune) that doubled Jev 1.13's task success in the same agent.

Apache-2.0 Gemma 4 12B fine-tune for local typed decisions, chat and image input, served via /v1/systemone and chat completions.

Static GGUF quantizations by mradermacher of SargeDev's JEV-27B-Uncensored, a Jev 1.13-distilled decision model.

Static GGUF quantizations by mradermacher of SargeDev's JEV-27B-VL-Uncensored vision decision model.

MIT-licensed benchmark and leaderboard for Jev-class decision models: accuracy, calibration, latency and cost on sealed tiers.

Open benchmark for System One decision models on Choice, Score and Noul, reporting accuracy, calibration and robustness separately.

Convex's eval repo with a 108-question multiple-choice benchmark comparing Jev's Choice answers with 14 LLMs on accuracy, latency and cost.

Reproduction kit for the Decision Index leaderboard: runs 37 public benchmarks against any /v1/systemone engine.

Daily-updated, data-driven index of real Jev use cases, projects, benchmarks and criticism across GitHub, Reddit, HN and YouTube.

System One Mosaic Benchmark comparing Jev and open decision models across 137 English and 27 Japanese Choice, Noul and Score tasks.

CUDA-native engine that serves open Qwen3.5 checkpoints behind a Jev-compatible API, reading option logits without decoding.

122M multilingual local decision model answering Choice, Noul and Score in milliseconds on CPU behind a /v1/systemone server.

Library, CLI and app that classify PDFs, DOCX and PPTX with Jev and split document packets at predicted boundaries.

DeepSeek Harness plugin with jev_decision tools, an opt-in risk and loop auto-guard, and a live self-test benchmark against the Jev API.

DeepSeek Harness paper-reading workbench whose PDF search reranks keyword candidates with Jev, falling back to keyword order.

Agent skill that tells you when you need an eval and how to build it, with an opt-in lane routing closed-label residue to Jev.