Crivo-150M is now on the Pareto frontier of the Decision Index π―
Scored by the maintainers on the private tests: Full 22.21, the best of all submissions at or below 150M and higher than every model below 0.75B, including models up to 4Γ its size. Median latency on the board's GPU: 13 ms.
It is a 149M typed-decision encoder (Ettin / ModernBERT): a state plus choice, noul or score questions in, a probability for every option out, in one forward pass. Trained on open data only.
Next: tasks from new domains, the weak spot of every small encoder on the board.
π₯ Imajev-4b is #1 of 50 on Image JevBench (v0.1.4, 29 Sep 2026), the leaderboard for AI models that make decisions from images.
A small demo built on imajev-4b: a closet stylist π Request you to star it here so we can make it better - https://github.com/mohit67890/imajev.
Tap a piece and it reads the photo (red 75%, checked 99%), then the app picks bottoms, shoes and a bag from your own closet in the colours you like. Change your colours and the outfit changes.
Under the hood it's one request with one photo and 4 typed questions. Every option gets a probability, so the app applies its rules (one pattern per outfit) and ranks what's left. About 1.1 s per outfit on a Mac (MLX). Every % in the video is the model's real answer.
Also, thanks to @zenmagnets for the FP8 version for Blackwell GPUs: same calibration, 0.1 pt less accuracy on all 23,900 DecisionBench rows, ~1.6Γ faster π zenmagnets/Imajev-4B-FP8-SM120