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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.

Release files for decision-tune 0.0.1

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Source distribution for decision-tune 0.0.1
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Release files / decision_tune-0.0.1.tar.gz

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Release files / decision_tune-0.0.1-py3-none-any.whl

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0.0.3

2 release files

0.0.2

2 release files

This release

0.0.1 This release

2 release files

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