LitJev
A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text.
Turn any off-the-shelf LLM into a Jev -like decision layer
How it uses Jev
A reproduction of Jev: turn any Qwen model into a fast decision model.
Getting started
Open http://127.0.0.1:8000/ , load the example, and submit. The first request downloads and loads the model, which can take several minutes. Use --model /path/to/checkpoint for a local checkpoint and --device-map cuda:0 to pin a GPU. Not yet published to PyPI; the commands above run this checkout.
Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README.