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Vev: Jev-like decision models with vision — 4B/9B, local inference, open weights

I've been working on Vev, a pair of Qwen3.5 fine-tunes (4B and 9B) for Jev-style decisions with image input. You give it text, JSON, screenshots or photos, ask yes/no, multiple-choice or scoring questions, and get probabilities over the answers you specify. It reads the answer-token probabilities d…

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  1. 2026-10-01 12:58 · r/LocalLLM
    Vev: Jev-like decision models with vision — 4B/9B, local inference, open weights

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  1. Ollama now supports Jev-style decision models — Ollama Blog
  2. I rebuilt a Jev-style classifier on Qwen3.5-4B: shared-prefix tree, open weights, fine-tunable, ~140 ms on one H100 — r/learnmachinelearning
  3. autotrust/JEV-27B-VL: first decision model that learned to see without a single image of training — r/LocalLLM
  4. Trained locally: ultra-fast 0.8B/2B System 1 decision models that match Jev on benchmarks and Doom, ~30 ms per decision (open weights) — r/LocalLLaMA
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  6. OpenAI's Jev clone could help the frontier lab stop its swarming agents — TechCrunch AI
  7. LLM or JEV? Why not both? - introducing a hybrid Gemma4 approach — r/LocalLLM
  8. What Is Jev? The AI Model That Doesn't Generate Text — IBM Technology (YouTube)

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