Visual classification with decision models

Free hosted Jev-style multimodal decision model API (about 20B active) that picks actions from images and options, aimed at robot control.

ComfyUI nodes for Jev-style noul, choice and score decisions over images and text using a local imajev adapter on Qwen3.5.

Local library that turns an image into a transparent text state (OCR, boxes, labels) so Jev can decide over screenshots.

Clash Royale bot on a real phone with no trained policy: vision builds a JSON state and Jev picks strategy, card and square each second.

Screenshot-in, coordinate-out harness where Jev picks among vision-described grid tiles recursively, with probability and margin gates.

Browser driving game where Florence-2 captions dropped images and Jev decides whether the car stops, slows or continues.

Gives Jev eyes: detects and tracks objects in images, video or RGB-D feeds, then asks a typed Jev question about each object.

Autonomous PlayStation 2 agent that captures emulator frames, asks Jev for the next action, and injects virtual controller input.

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

Research MVP pairing an LLM-authored, revisable ontology with Jev classification, where low confidence triggers ontology revisions.

Research prototype testing Jev as a semantic supervisor that tells a driving policy to continue, observe, replan or defer.

Independent open model on Molmo2-ER that answers spatial questions by choosing from fixed options with one shared classifier head.

Research fork of Laya that reads typed choice and yes/no decisions from an image plus optional text in one forward pass.

openvons (open-Jev): finite-choice decision layer for text, images and Japanese voice, with a none option and execute/confirm/reject.

Open project training a vision-enabled Jev-like model (0.8B, 9B) that judges dynamic candidate sets over images with Choice, Noul and Score.

Self-hostable calibrated decision model for images and text (Qwen3-VL-4B + LoRA) scoring 82.7 percent on public JevBench.

Independent Jev-style server on DiffusionGemma and SGLang that classifies doodles, flowers and messages with Choice, Score and Noul.

Cloudflare's Apache-2.0 27B multimodal decision model that scores every option of every question jointly, with a Jev-compatible API.

Perplexity's Apache-2.0 multimodal decision model on Qwen3.8-27B, reporting 61.56 on the Decision Index versus 57.9 for Jev.

Native vLLM serving for Jev-style decision models on Linux and Apple Silicon, including image and video questions for Valen.

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

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

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

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

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

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

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

Local Jev-compatible API on a Mac: Qwen via llama.cpp/Metal reads one output token per question for text and image decisions.

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

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