LumenSyntax/logos14-nemotron-4b

Logos 14 — Nemotron 4B Epistemological Auditor

Cross-family replication of the Logos epistemological classifier on NVIDIA's Nemotron Mini 4B architecture. Evidence for the cross-family replicability of epistemological fine-tuning.

Benchmark Results (300/300 stratified)

Metric	Score
Behavioral accuracy	95.7% [92.7, 97.5 CI]
Identity collapse	0%
Fabrication	0%
False approval	1.3%

Cross-Family Comparison

Model	Family	Score
logos-auditor (9B)	Google Gemma 2	97.3%
logos14 (4B)	NVIDIA Nemotron	95.7%
logos16v2 (1.6B)	Stability AI StableLM 2	93.0%

Statistical equivalence between Nemotron and StableLM: chi2=1.88, p=0.170.

What This Model Does

Logos is an epistemological classifier, not a chatbot. It evaluates whether claims cross epistemological boundaries. Fine-tuned, not prompted — behavioral constraints emerge from training.

Access

This model requires approved access. Request access using the form above and describe your intended use case.

Connection to Research

This model is part of the evidence for "The Instrument Trap" (DOI: 10.5281/zenodo.18716474).

License

Apache 2.0 (inherited from base model nvidia/Nemotron-Mini-4B-Instruct)