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jevmlx
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
46 ★ on GitHub
What it is
jevmlx turns a schema of fields (booleans, enums, multi-selects) and a context string into a single batched forward pass on a local Apple Silicon model. Every allowed option for every field is scored from logits in one prefill — no text generation — and the JSON is assembled from the winners, with a probability per field.
Where the decision sits
jevmlx runs its own weights or its own runtime rather than calling a hosted API, so its decisions do not depend on a vendor being up or on a key being funded. The trade is that the model is now yours to keep current.
How active it is
Created 2026-09-17, last pushed 2026-09-20, 46 stars and 8 forks when we read it on 2026-09-20. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
What we have not checked
Whether it works. We have not run this project, measured the model behind it, or verified any performance claim in its README. This page records what the repository says about itself, read on 2026-09-20. The one model we have measured end to end is Jev.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.