Repo

vegaml

Answers fixed-type questions from text or images in one pass and returns usable values plus calibrated probs, prediction sets, and abstain flags.

GitHub ↗Oct 9, 2026Paper ↗

  • llm
  • uncertainty
  • conformal-prediction
  • long-context
Multi-benchmark comparison showing small model beats hosted baseline, core claim
Multi-benchmark comparison showing small model beats hosted baseline, core claim

What it is

Local typed-decision engine for frozen LMs that returns direct choices, scores, or booleans with calibrated probabilities, conformal sets, and abstention. Turn a frozen local language model into a typed decision API that answers fixed-schema questions from text or images and returns calibrated probabilities, conformal sets, and abstain flags.

Key results

  • Supports 73,728-token context with read-once prefix caching
  • 0.8B model runs at 22 ms/decision on typed-decisions benchmark
  • DecisionBench NLL 1.420 vs hosted 3.196 for the 4B model

Shows a frozen local LM can act as a typed decision system with calibrated uncertainty, not just a text generator.

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