| | ---
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| | license: apache-2.0
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| | base_model: nvidia/Nemotron-Mini-4B-Instruct
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| | tags:
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| | - epistemological-safety
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| | - ai-safety
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| | - truth-verification
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| | - instrument-trap
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| | - logos
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| | - cross-family-replication
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| | datasets:
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| | - LumenSyntax/instrument-trap-benchmark
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| | language:
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| | - en
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| | pipeline_tag: text-generation
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| | ---
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| |
|
| | # Logos 14 — Nemotron 4B Epistemological Auditor
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| |
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| | 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.
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| |
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| | ## Benchmark Results (300/300 stratified)
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| |
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| | | Metric | Score |
|
| | |--------|-------|
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| | | **Behavioral accuracy** | **95.7%** [92.7, 97.5 CI] |
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| | | Identity collapse | 0% |
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| | | Fabrication | 0% |
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| | | False approval | 1.3% |
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| |
|
| | ### Cross-Family Comparison
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| |
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| | | Model | Family | Score |
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| | |-------|--------|-------|
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| | | logos-auditor (9B) | Google Gemma 2 | 97.3% |
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| | | **logos14 (4B)** | **NVIDIA Nemotron** | **95.7%** |
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| | | logos16v2 (1.6B) | Stability AI StableLM 2 | 93.0% |
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| |
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| | Statistical equivalence between Nemotron and StableLM: chi2=1.88, p=0.170.
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| |
|
| | ## What This Model Does
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| |
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| | Logos is an **epistemological classifier**, not a chatbot. It evaluates whether claims cross epistemological boundaries. Fine-tuned, not prompted — behavioral constraints emerge from training.
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| |
|
| | ## Access
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| |
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| | This model requires approved access. Request access using the form above and describe your intended use case.
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| |
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| | ## Connection to Research
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| |
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| | This model is part of the evidence for "The Instrument Trap" (DOI: [10.5281/zenodo.18716474](https://doi.org/10.5281/zenodo.18716474)).
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| |
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| | ## License
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| |
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| | Apache 2.0 (inherited from base model nvidia/Nemotron-Mini-4B-Instruct)
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| |
|
