---
license: apache-2.0
base_model: nvidia/Nemotron-Mini-4B-Instruct
tags:
  - epistemological-safety
  - ai-safety
  - truth-verification
  - instrument-trap
  - logos
  - cross-family-replication
datasets:
  - LumenSyntax/instrument-trap-benchmark
language:
  - en
pipeline_tag: text-generation
---

# 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](https://doi.org/10.5281/zenodo.18716474)).

## License

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