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Mica

akivet/Mica · Homepage

4B decision model serving calibrated probabilities over long inputs.

Agent Decisions0.20Runner-up: Scoring & RankingQuestionnaire
Automated README summary

Automatically summarized from the README on 29 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Mica is a 4B model for making decisions inside software: given input material, typed questions and allowed answers, it returns a probability per answer without generating text. This repository is its HTTP server.

How it uses Jev

Jev is the decision model Mica serves: it takes a state (input material) plus typed questions (yes/no, choice, score) and returns calibrated probabilities per allowed answer. The server exposes this over HTTP at /v1/systemone; abstain_threshold flags uncertain cases.

Primitives:choicescore

Technique worth stealing

Long-input mode runs lower layers on state rows and upper layers only build what later rows read, speeding prompts over 1k tokens.

Try it

Clone the repo, install v0.5/serving/requirements.txt, then run python v0.5/serving/serve.py.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.31
  • Shows a System One patternunclear0.45
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.07
  • Is a replica of the modelFound in material0.76
  • Solves a common problem (0–2)score on a 0–2 scale1.69 / 2
  • About JevFound in material0.90
Signals
Jev is core to the project0.31Shows a System One pattern0.45Describes handling uncertainty0.03Reports measured numbers0.04Is a runnable tool0.96Top-10 learning shortlist signal0.07Is a replica of the model0.7600.51Solves a common problem (0–2)1.69 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.96Check-up0.61Grey zone0.56Traffic light0.3500.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 29 Oct 2026.