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Calibration & Research

Work on the models themselves and on the quality of their probabilities. Open-weight reproductions, inference tricks that read option probabilities from ordinary LLMs, calibration and threshold studies, and papers sit here.

264 public projects · page 6 of 9

  • Serves the Jev request shape from any OpenAI-compatible endpoint by reading single-letter option probabilities from logprobs.

    ServicebetaJavaScript
  • OneJev: open multimodal System One model (0.8B-27B) answering typed questions about screenshots, photos, video and text in one pass.

    ModelbetaPython
  • Open-Jev: open typed-decision models (2B, 9B, 27B v1.1) returning candidate probabilities without generation, with a no-code workbench.

    ModelbetaPython
  • Open calibrated decision models from 400M to 80B with Jev-compatible server, MCP server and clients, benchmarked against Jev.

    ModelbetaPython
  • OpenJev 1.7B-8B: open decision models distilled for general decisions and browser-agent steps, served behind /v1/systemone.

    ModelbetaPython
  • OpenJev on Hugging Face: open-weights decision model for text, web pages and screenshots with up to 52 options per forward pass.

    ServicebetaPython
  • Open Thai and English System One model: Qwen3.5-0.8B with a 256-way slot-softmax head, served with a /v1/systemone-compatible API.

    LibrarybetaPython
  • Jev-style choice-plus-probabilities from GLM-5.3-Flash in one forward pass, in Edgeless Systems' confidential-computing API.

    ServicebetaPython
  • Family of open decision models from 153M to 31B that pick one option per question with calibrated probabilities in the /v1/systemone shape.

    ModelbetaPython
  • Open, local Jev-style server on llama.cpp that returns typed decisions from a fine-tuned Spark-X2.5-4B without generating tokens.

    ModelbetaPython
  • Local Jev-compatible /v1/systemone server that reads typed answers from the logits of any MLX or OpenAI-compatible model, no training.

    LibrarybetaPython
  • Standard Thinking's Apache-2.0 3B and 8B decision models on Ministral 3 that score bounded answers via /v1/systemone, with vision.

    ServicebetaPython
  • Open 596M and 4B decision models that answer Choice, Score and Noul in one pass locally, with calibrated confidence for escalation.

    ServicebetaPython
  • Apache-2.0 118M multilingual decision model for Choice, Score and Noul on the System One API, with conformal abstain.

    ModelbetaPython
  • Apache-2.0 395M ModernBERT System One model serving calibrated Choice, Noul and Score locally as a drop-in /v1/systemone replacement.

    ServicebetaPython, TypeScript
  • Apache-2.0 ModernBERT decision model answering Noul, Choice, Score and multi-label questions, with a local Jev-compatible server.

    ServicebetaPython
  • OpenJevPro: typed Choice/Noul/Score API over open LLMs, Laya or Jev with order-invariant scoring and a System 2-to-1 distillation flywheel.

    ServiceprototypePython
  • Free, rate-limited Hugging Face endpoint serving DiffusionGemma decisions in the /v1/systemone format without fine-tuning.

    Serviceprototype
  • CPU port of SemIf that reads typed decisions from a small open model's option logits on a laptop, with a web UI.

    ModelprototypePython
  • Tiny /v1/systemone-compatible decision server: a 7M-parameter CPU model in an 8 MB native binary, with conformal abstention.

    ModelprototypeMFL
  • Unofficial proof of concept serving Jev's /v1/systemone shape from a local BERT-style zero-shot classifier, with honest caveats.

    ServiceprototypePython
  • Dependency-free Python wrapper that turns any LLM API into a Jev-style choose-one-option decision call for old machines.

    ModelprototypePython
  • Serves MiniCPM5-2B-8bit on Apple Silicon as a Jev-compatible /v1/systemone service and reproduces its JevBench score.

    ModelprototypePython
  • Gemma 3 4B option scorer that prefills context once and scores all options in one pass, on MLX or PyTorch, with a Doom demo.

    ServiceprototypePython
  • Experimental iPhone app for on-device visual decisions: Qwen3-VL on MLX reads option-letter logits for 2-26 choices about a photo.

    ModelprototypeSwift
  • Chinese local MLX demo that scores 2-5 candidate decisions with a small Qwen model and drives a Snake game by choosing among moves.

    ModelprototypePython
  • SemIf★ 4,813

    Formerly OpenJev: open-model 'semantic ifs' that read option logits from a frozen 4B model on one RTX 3090, with a browser demo.

    ModelresearchPython
  • CLM★ 3,014

    CLM-8B, a contrastively trained System One model that embeds states and actions separately, served behind a TypeSafe-compatible API.

    ServiceresearchPython
  • NanoJev★ 2,543

    0.6B open Jev replica returning full option distributions with no decoding; one checkpoint plays ViZDoom, Maze and Snake.

    ModelresearchPython
  • AnyJev★ 1,255

    Nokia's training-free library that turns open LLMs into Jev-style deciders robust to option order, plus self-distilled Tacit models.

    ModelresearchPython