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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

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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)

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Safetensors

Model size

4B params

Tensor type

F16

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nvidia/Nemotron-Mini-4B-Instruct

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logos14-nemotron-4b