Do you need Jev? Typed decisions from an ordinary LLM with one token and logprobs
You can get Jev-style typed decisions from an ordinary LLM by forcing one output token and reading its logprobs. Where that matches Jev, and where it loses.
6 stories
You can get Jev-style typed decisions from an ordinary LLM by forcing one output token and reading its logprobs. Where that matches Jev, and where it loses.
To run a System One model locally, pick a runtime too: Ollaya serves ten open model families, laya-mlx runs Laya on Apple silicon, and llama.cpp needs a shim.
JevBench scores System One models on accuracy, calibration, speed and cost, and puts Jev first at 63.3. Why calibration still needs your own data.
Jev's first week brought a trusted monitor, computer-use agents, self-hosted clones, a benchmark and a joke chatbot: the slot each fills and which numbers hold.
The open-source alternatives to Jev are Laya, Kev, SemIf, Open-Jev and Nimble. They are four kinds of project, and here is what each one replaces.
A System One model answers typed questions with typed answers and a probability, not text. It sits beside your LLM and takes the small, frequent decisions.
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