All decision model projects

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

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

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

Apache-2.0 multimodal System One models (0.8B, 2B, 4B) that take text, images or video and return probabilities over supplied candidates.

Archived early Jev-compatible API server running Qwen3.6-35B-A3B prefill-only on SGLang via Modal; superseded by SGLang's native endpoint.

Educational MLX project scoring typed questions about one image with Qwen3.5-0.8B on Apple Silicon, with game demos.

Browser MuJoCo Franka Panda workbench comparing Jev, Claude, OpenAI-compatible and local models on pick, stack and obstacle tasks.

Small open decision model on a frozen Qwen3.5-4B serving /v1/systemone in about 200 ms, benchmarked against Jev on JevBench.

Preregistered study: reading a frozen Qwen3-4B's option-letter logits matches grammar-constrained JSON accuracy, and runs faster.

Small multimodal System One models that choose, judge or score text, documents and images in one forward pass.

NIRNAY 450M: open Apache-2.0 decision model fine-tuned from Laya that reports 87.9% on Banking77 with fitted ECE 0.045.

Open-weight 0.6B decision model on a Qwen3 backbone: state and typed questions in, a probability for every option out, nothing decoded.

Open 27B multimodal decision model built largely by autonomous agents, serving choice, noul and score on a TypeSafe-compatible API.

Experimental 17M-400M English decision models for choice, yes/no, score and reranking, with weights, training code and an ONNX browser demo.

Bespoke Labs' open recipe, data and 9B LoRA model for Jev-style choice and true/false decisions, runnable on Apple Silicon or NVIDIA GPUs.

Open Apache-2.0 Jev-like model family on Qwen3.8-27B that reads one-token candidate preferences and serves a TypeSafe-compatible API.

Open 2B non-autoregressive decision model on Qwen3.5-2B for agent tool routing and DOM actions, with BF16, FP8 and INT8 weights.

706K-parameter Jev-style option scorer that rates fill, check, click or skip for each form element in one parallel pass.

Recipe that answers JevBench typed decisions with frozen Gemma-4-12B-it on stock vLLM by reading one option-letter token's probability.

Experiment showing a RLCD-trained LoRA decision head on Qwen3.5-4B generalises only where training data covers the task structure.

399M ModernBERT-large decision model with one universal choice head answering Choice, Noul and Score in a single forward pass.

Calibration harness that reads yes/no, pick-one and rating answers from one forward pass of a frozen open vision-language model.

Jag: Jev-inspired Qwen3.5-0.8B model that predicts a visual-grounding box in one forward pass, about 20x faster than its base.

InternLM's open multimodal decision models (0.8B-4B) trained on Qwen3.5, with calibration tooling and a 96-case calibration benchmark.

Open Apache-2.0 System One decision models (4B, 9B, 27B on Qwen) with trainer, data builders, evals and every run record.

PostHog's 9B Jev-like model that reasons before deciding, trained with SFT and CISPO, with a diffusion drafter for speed.

Hypothesis-driven experiments characterising the Jev API, intended to inform a future football prediction product.

Comparative judgment of ASAP essays by Jev and two LLM judges, turning pairwise decisions into scores compared with human grades.

Learning experiment comparing Jev with an OpenAI model on GitHub issue ownership and on AG News, TREC and SNIPS classification.

Minimal training project for a Jev-style decision model: Qwen3-0.6B with a pointer head that outputs probabilities over options.