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Open decision models and reproductions with decision models

Open-weight models and reimplementations that give typed decisions with option probabilities, usually fine-tuned small LLMs or encoders.

351 public projects · page 2 of 12

  • Zero-dependency npm package that runs Laya natively or as WebAssembly in Node, Bun and browsers, drop-in for Jev's /v1/systemone.

    ProjectbetaJavaScript
  • Native C++ Laya inference on ggml with CUDA, Vulkan and Core ML, plus a Jev-compatible HTTP server with automatic batching.

    ServicebetaC++
  • Turns any chat model on SGLang, vLLM, transformers or MLX into a Jev-compatible service with one prefill and one label token per question.

    ProjectbetaPython
  • Docker recipes and ARM64 images for serving ten native decision checkpoints, such as Cloudflare Clef, behind /v1/systemone on DGX Spark.

    ServicebetaPython
  • NoulXP: open standard and reference engine for packaging calibrated System One decision models so one runtime can run them all.

    ProjectbetaPython
  • Local-first desktop AI workbench for llama.cpp, vLLM and SGLang that includes a JEV typed-decision page and /v1/systemone gateway.

    Servicebeta
  • Japanese System One decision model on ModernBERT-ja (314.6M) returning typed choice, score and bool distributions with no generation.

    ProjectbetaPython
  • Self-hosted Jev-compatible System One server that sits in front of llama-server and reads option probabilities from any GGUF model.

    ServicebetaPython
  • Korean RL tycoon game training a company decision model that answers situations with choice, probabilities and confidence.

    ProjectprototypePython
  • Valence: macro news sentiment engine scoring global headlines' market impact with a contrastive System-One model on serverless GPU.

    ProjectprototypePython
  • MLX library that turns an existing local model into a decision engine by reading candidate logits, with no fine-tuning, on Apple Silicon.

    ProjectprototypePython
  • Experiment running a trained jevlike option scorer as ESP-IDF firmware on an ESP32 microcontroller.

    ProjectprototypeC
  • Early Rust runtime that answers Jev and Laya typed questions, currently serving Laya checkpoints on CPU, CUDA and Apple GPUs.

    ProjectprototypeRust
  • Browser-only Jev-style decisions in Chinese or English using a zero-shot NLI model on ONNX Runtime Web, with honest limits.

    ProjectprototypeJavaScript
  • Open System One-style playground: send state plus typed choice, score and noul questions to any of four backends via a UI or API.

    ProjectprototypeTypeScript
  • Jev-compatible open System One engine with a Claude Code-style terminal REPL showing live probabilities, plus an experiment harness.

    ProjectprototypePython
  • Python library that turns an open LLM into a Jev-style classifier via constrained single-token choice indexes in one forward pass.

    ProjectprototypePython
  • Browser arcade games (2048, runner, chess, Flappy Bird, Sudoku) where small decision models choose each move from text options.

    ProjectprototypePython
  • Open Jev-style decision model built on Gemma 3 270M with a scoring head, scoring all options in one forward pass on CPU.

    ProjectresearchPython
  • cbjev★ 4

    Self-hosted encoder model giving Jev-compatible choice, score and noul answers in one pass, pitched as a better-calibrated Laya successor.

    ProjectresearchPython
  • 33-chapter Chinese tutorial on agentic RL and GRPO, including a chapter on when Jev-style external decision models beat training with RL.

    ProjectresearchPython
  • Joke decision model trained to answer wrongly with total confidence: 1.9% accuracy at 0.957 mean confidence, via a Jev-style API.

    ProjectresearchPython
  • Open clinical text classifiers (0.8B-9B on Qwen3.5) with labels set at inference time, run locally and compared with Jev 1.13.

    ProjectresearchPython
  • Pre-registered field test of Jev, GLiNER2.5-Decide, Laya and other decision models against small LLMs on fresh September 2026 data.

    ProjectresearchPython
  • Open 4B System I driving model that scores behaviours like cruise, stop, yield and brake from three camera frames each decision.

    ProjectresearchPython
  • 11 MB CPU-only model that answers choice, noul and score questions with fitted calibration and no LLM at inference.

    ProjectresearchPython
  • Official code for the FastJEV paper: training-free reduction of redundant candidate computation in multimodal JEV-style models.

    ProjectresearchPython
  • Tiny pre-registered experiment testing whether a confidence-scoring reward (RLCD-like) yields confidences safe to automate on at 0.9.

    ProjectresearchPython
  • Research code for an image-and-text System One model that reads option-letter logits from a multimodal LLM, with training and calibration.

    ProjectresearchPython
  • Instruction dataset of 119 rows compiled from TypeSafe's public Jev documentation, split by Choice, Noul and Score.

    ProjectresearchPython