GitHub · by RJMSWD
A Jev-style conversion of Qwen-3.5-4B, at 0.169 s per frame.
The Qwen-3.5-4B vision-language model converted to work like Jev, reaching 0.169 seconds per frame for recognition. The author notes the same approach transfers to the other Qwen models.
Open the source
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…
GitHubResearch and data
Eric Zhang
@ekzhang1
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…
GitHubResearch and data
A small open decision model: state and typed questions in, probabilities out.
Kshetrajna Raghavan
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