Dentate
Verify before you reward. Dentate fine-tunes a small model on a verifiable task family, measures whether it can already produce checkable answers, and runs GRPO only when that measurement says a reward exists. Each run ends with a held-out score and the verdict behind it. Any architecture registered with Dentate runs through the same pipeline; the demo ships Spiral, a small looped transformer, as the reference.
pip install "dentate[demo]"
dentate demo init && dentate demo run
dentate serve
Python 3.11+. Nothing downloads after the install: the wheel bundles the starter project, a pinned SmolLM tokenizer and the built web app. No model weights, teacher or oracle are fetched.
- Colab: https://colab.research.google.com/github/Xpitfire/dentate-bootcamp/blob/main/dentate_bootcamp.ipynb
- CLI bundles (no Python needed): https://github.com/Xpitfire/dentate-bootcamp/releases/latest
- Hosted site (papers, docs and public results without an account; sign in to run experiments): https://dentate.cortex.a2olabs.com
- Student guide: https://github.com/Xpitfire/dentate-bootcamp/blob/main/BOOTCAMP.md
Result packages (result.dentate) contain configuration, metrics, provenance and checkpoints; editable projects
(.dentate) contain configuration only. A failed support gate is a reported result, not an error.
1 maintainer
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