firelex/jeff

Source
GitHub
First trending
Category
Model inference
GitHub stars
285
Main language
Python

This page introduces an external open-source repository. It is not an HDATF product.

firelex/jeff

What it does

Fine-tuned Qwen3.5 and Gemma 4 models classify situations against options described in plain language and return probabilities without generating text.

How it helps ATF

Harness could compare it as a model for classifying task requests before routing them. Accuracy on actual work examples would need separate verification.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

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    A port of Laya typed decision models to Apple Core ML and the Neural Engine, running on device without generating tokens, published with speed and energy benchmarks and a Snake demo.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.

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