GitHub · by RenaGao

jev-dataops

A workbench for data selection, quality scoring and LoRA training.

An open-source workbench powered by Jev for streaming data selection, quality evaluation and automatic LoRA training. Jev decides which samples are worth keeping before anything is trained on them.

RenaGao/jev-dataops on GitHub

Stars: 63
Forks: 7
Language: Python
Last push: Oct 8, 2026

Repository created Sep 21, 2026. Counts read from the GitHub API on Oct 15, 2026, and they move daily — quote them with the date.

Open the source

CUA-S1-FORMS

Parameters: 706k
Form fill: one 50 ms pass

Vincent Wang-Maścianica

@vinnylarouge

I reverse-engineered a jev-like architecture given its type. You can find the repo here to train your own jevlikes: github.com/vinnylarouge/j…

GitHubOpen source

Inspired by @typesafeai , here is a Jev-compatible public API to play with It runs a comparable open model (Qwen3.6-35B-A3B), and just uses SGLang radix cache to preserve the prefill reuse / really fast parallel systemone generation - 64 tasks in <1s. github.com/ekzhang/openje…

GitHubOpen source

openjev-sglang

Throughput: 64 tasks <1 s

jev-dataops

RenaGao/jev-dataops on GitHub

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