AINewsnow

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

I've been building a small decision model for agent loops: gates, routers, "should I ask the user or just act" checks. It's out now as Mica v0.1 4B (Apache-2.0). What it does You give it a state, a question and the allowed answers, and it returns a calibrated probability for each answer: yes/no, a…

Read the full story at r/huggingface ↗

Timeline · 1 report

  1. 2026-09-29 15:14 · r/huggingface
    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

More stories

  1. OpenAI unveils Decisions API, which returns predefined answers with confidence scores, available in limited preview with no pricing details (Frederic Lardinois/The New Stack) — Techmeme
  2. 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
  3. OpenDecider: distilling calibrated "System One" decision models from open teachers, evaluated head-to-head against Laya and TypeSafe's Jev — r/machinelearningnews
  4. TensorSharp Jev requests can now combine documents, images, video, and audio — r/LocalLLM
  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. Building a Pi Extension with Jev: Agent Hooks, Supervision, and Real Tests — DEV Community — AI

Get the daily brief of stories like this at 6:30 every morning →