decision-tune
Train your own local decision model on your own data, with an honest report card.
Status: early development (0.0.x). Not usable yet. This release reserves the name and ships a CLI that only prints its status.
The plan: a local open-weight model drafts labels, you label a small answer key blind, decision-tune trains Laya on your Mac, and the model only leaves your machine through a report card that blocks known silent evaluation traps. Serving is through Ollaya.
pip install decision-tune # or: npx decision-tune
decision-tune
Apache-2.0.
1 maintainer
Release files for decision-tune 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| decision_tune-0.0.2.tar.gz | 8.2 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| decision_tune-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.7 kB
Release files / decision_tune-0.0.2.tar.gz
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