metadata
license: other
license_name: gemma
license_link: https://ai.google.dev/gemma/terms
base_model: google/gemma-3-1b-it
tags:
- logos
- epistemological-safety
- instrument-trap
- gguf
- claim-classifier
datasets:
- LumenSyntax/instrument-trap-benchmark
pipeline_tag: text-generation
language:
- en
- es
Logos 10v2 — Gemma 3 1B F16 (Production)
The production epistemological firewall model from LumenSyntax. Full-precision (F16) GGUF for claim classification and epistemological safety evaluation.
Benchmark Results
| Metric | Value |
|---|---|
| Behavioral accuracy | 82.3% |
| Epistemological safety | 97.7% |
| False approval rate | 1.58% |
| Hallucination rate | 0.00% |
| Dangerous failures | 1.9% |
Why F16?
Q4_K_M has known safety failures. In testing, Q4_K_M falsely approved dangerous claims that F16 correctly rejected. For an epistemological safety model, precision matters more than size.
What Logos Does
Logos is a claim classifier, not a chatbot. It evaluates whether claims cross epistemological boundaries. Logos is fine-tuned, not prompted. Behavioral constraints emerge from training, not system instructions.
Access
This model requires approved access. Request access using the form above and describe your intended use case.
Related
- Paper: The Instrument Trap (DOI: 10.5281/zenodo.18716474)
- Benchmark: instrument-trap-benchmark
- Cross-family models: logos14-nemotron-4b, logos16v2-stablelm2-1.6b
License
This model inherits the Gemma license from its base model.