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Trained locally: ultra-fast 0.8B/2B System 1 decision models that match Jev on benchmarks and Doom, ~30 ms per decision (open weights)

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  1. 2026-09-28 20:18 · r/huggingface
    Trained locally: ultra-fast 0.8B/2B System 1 decision models that match Jev on benchmarks and Doom, ~30 ms per decision (open weights)

More stories

  1. 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
  2. OpenDecider: distilling calibrated "System One" decision models from open teachers, evaluated head-to-head against Laya and TypeSafe's Jev — r/machinelearningnews
  3. TensorSharp Jev requests can now combine documents, images, video, and audio — r/LocalLLM
  4. How JEV works internally — r/learnmachinelearning
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  6. LLM or JEV? Why not both? - introducing a hybrid Gemma4 approach — r/LocalLLM
  7. How long until OpenAI release their version of Jev? — r/AI_Agents
  8. Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU — MarkTechPost

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