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Benchmarks & research

jev-on-a-laptop

This study benchmarks parallel typed decisions on unmodified 1.5B–8B models running on Apple Silicon.

Source screenshot of jev-on-a-laptop
SOURCE SCREENSHOT · source ↗ · captured 2026-09-21Full screenshot ↗

What it does

It includes research notes, full result logs and a Hugging Face Space demo; acceleration may fall back when free VRAM is insufficient.

Maker-reported (not independently measured by JevMade): 240.9 → 83.8 ms (custom 27 fields). Capture needs free VRAM and may fall back · Also measured: 4-field / 255-choice tariff preset (1.5B: 0.15 s, 5.9x) and support-triage (1.5B: 0.76 s, 4.4x — collision handling costs extra). Full logs and JSON: results/

Primitives
choice
Platform
Python
Added
Project created
GitHub stars
14 · snapshot 2026-09-18T22:58:45Z

Source checked 2026-09-19 — opened the GitHub repository directly.