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Benchmarks & research

TypeAR

Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.

Added
2026-09-17
Language
Python
Stars at snapshot
12
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Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement.

  • Benchmarks & research

    SemIf

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    Python 2,126Details
  • Benchmarks & research

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    HTML 95Details
  • Benchmarks & research

    typesafe-ai-benchmark

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    TypeScript 33Details
  • Benchmarks & research

    jev-on-a-laptop

    Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo.

    Python 21Details
  • Benchmarks & research

    open-jev (JoshuaSP)

    Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results

    Python 19Details
  • Benchmarks & research

    openvons

    openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド

    Python 10Details