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Open Source Jev Alternatives: Five Self-Hosted Decision Models to Run Yourself

This story is from 2026-10-02. It is preserved in the archive; the latest stories are on the live feed.

Most of the decisions software asks a model to make are small and repetitive: route this ticket, flag this message, rate this severity. Those calls never needed prose. Paying a frontier model to generate a sentence you immediately parse back into an if statement has always been the wrong shape for…

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  1. 2026-10-02 12:50 · DEV Community — AI
    Open Source Jev Alternatives: Five Self-Hosted Decision Models to Run Yourself

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  1. Cloudflare debuts open-weight multimodal decision models Clef and Clef-flash, claiming they are smarter and faster than Jev, based on Qwen3.8-27B and Qwen3.5-9B (Brandon Vigliarolo/The Register) — Techmeme
  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. Mica v0.1 4B: open Jev-style decision model (yes/no, choice, score) that runs on an 8 GB GPU — trained for under $30 of GPU time — r/huggingface
  4. add GLM-5.3-Flash (GLM5-Next) support by timkhronos · Pull Request #27773 · ggml-org/llama.cpp — r/LocalLLaMA
  5. Amazon releases its own Jev clone as decision models flood the web — TechCrunch AI
  6. OpenAI answers TypeSafe's Jev with a Decision API built on Luna — The New Stack AI
  7. NIRNAY: 450M decision model beats Jev on Banking77, runs on CPU — r/machinelearningnews
  8. Vev: Jev-like decision models with vision — 4B/9B, local inference, open weights — r/LocalLLM

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