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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 5 of 9

  • AWS Strands Labs' 2B decision model: Qwen3.5-2B with a pointer head scoring options and calibrated confidence, plus a CLI.

    ModelbetaPython
  • JevK5★ 150

    Apache-2.0 open-weight Jev alternative that answers yes/no, choice and score questions with per-option probabilities in one pass.

    LibrarybetaPython
  • Python library that gets typed, calibrated decisions from any open-weights LLM in one forward pass, with packed shared-state questions.

    LibrarybetaPython
  • Lichen★ 58

    Drop-in local replacement for Jev that serves /v1/systemone from open weights, including questions about images.

    ServicebetaPython
  • Local decision engine on zero-shot ModernBERT and SigLIP2 answering Choice, Noul, Score and Relation over text, documents and images.

    ServicebetaPython
  • poorjev★ 10

    Local Jev alternative on zero-shot NLI models with temperature scaling and conformal abstention; reports ECE 0.170 to 0.071, offline.

    ServicebetaPython
  • Serving layer that runs typed-decision models like Laya on your GPU or Mac behind a Jev-compatible /v1/systemone API.

    ServicebetaPython
  • Library and MCP server that scores a fixed set of choices with a model you already run (llama.cpp, Ollama, OpenRouter).

    LibrarybetaTypeScript
  • Open family of System One-style models fine-tuned from Qwen3.5 and Gemma that return typed decision probabilities in one pass.

    ModelbetaPython
  • Open multilingual System 1 decision engine built on Laya checkpoints with a router that picks the best checkpoint per request.

    ModelbetaPython
  • Nace.AI's open Drex decision models (v2.0 MoE, v1.5 9B, diffusion DLM) serving /v1/systemone locally via Python, llama.cpp or Ollama.

    ServicebetaPython
  • Apache-2.0 local decision model (0.8B Qwen fine-tune on llama.cpp) behind the Jev request shape, calibrated and CPU-only.

    ServicebetaPython
  • Small open vision-language decision models (2B, 4B, 9B) that answer typed questions about photos and records with a trained can't-tell.

    ModelbetaPython
  • 0.8B open System One model with task adapters that makes millisecond decisions in front of a larger local model like Qwen3.8-27B.

    ModelbetaPython
  • Local /v1/systemone server in Japanese docs with LFM, Sarashina and fine-tuned ModernBERT-Ja backends, including image input.

    ServicebetaPython
  • AutoTrust's Apache-2.0 student of Jev 1.13 on Qwen3.8-27B, serving typed decisions and ordinary generation from one vLLM engine.

    ModelbetaPython
  • AutoTrust's vision version of JEV-27B, ranked first of 20 on the community Jev Decision Index vision board.

    ModelbetaPython
  • Local Jev-compatible /v1/systemone server answering Noul, Choice and Score from open-weight models, usable with the official SDK.

    LibrarybetaPython
  • Makes any logprob-capable model answer typed questions Jev-style in one pass, in Jev's API shape, with probes and scorecards.

    ServicebetaPython
  • Scores every allowed option of a typed schema from one MLX prefill on Apple Silicon and assembles schema-valid JSON with probabilities.

    ModelbetaPython
  • Small open decision models (0.8B and 4B, from Qwen3.5) with a server that speaks Jev's /v1/systemone format in one forward pass.

    ServicebetaPython
  • Toolkit that turns Laya into a task specialist: LLM-generated and verified training data, RLCD training, calibration and longer context.

    ModelbetaPython
  • From-scratch Rust reimplementation of Laya on candle, including the encoder, decision head, calibration, RLCD training and a server.

    ModelbetaRust
  • CLI and Claude Code skill that turns one typed decision into a fine-tuned, calibrated, evaluated Laya checkpoint you can serve.

    ModelbetaPython
  • Open System One decision model (LoRA on Qwen3.5-4B) that reads typed answers from logits in one pass, with its benchmark harness.

    ModelbetaPython
  • Zero-training toolkit that turns local LLMs and multimodal models into Jev-style decision services via prefill-only scoring.

    ServicebetaPython
  • Open recipe: describe a decision task, have an LLM write training data, and train a Qwen LoRA plus decision head with calibrated outputs.

    ModelbetaPython
  • HTTP server for Mica, a 4B open decision model with 32k context serving yes/no, choice and score in TypeSafe's /v1/systemone format.

    ServicebetaPython
  • TokenRhythm's NeoHorse repo: open 4B/9B agent models plus NeoHorse-Jev-4B, a prefill-only Choice/Noul/Score decision model.

    ServicebetaPython
  • Hugging Face card for NeoHorse-Jev-4B: Apache-2.0 4B decision model for text or image-plus-text, served at /v1/systemone.

    ModelbetaPython