| | ---
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| | license: other
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| | license_name: gemma
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| | license_link: https://ai.google.dev/gemma/terms
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| | base_model: google/gemma-3-1b-it
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| | tags:
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| | - logos
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| | - epistemological-safety
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| | - instrument-trap
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| | - gguf
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| | - claim-classifier
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| | datasets:
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| | - LumenSyntax/instrument-trap-benchmark
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| | pipeline_tag: text-generation
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| | language:
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| | - en
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| | - es
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| | ---
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| |
|
| | # Logos 10v2 — Gemma 3 1B F16 (Production)
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| |
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| | The production epistemological firewall model from [LumenSyntax](https://lumensyntax.com). Full-precision (F16) GGUF for claim classification and epistemological safety evaluation.
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| |
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| | ## Benchmark Results
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| |
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| | | Metric | Value |
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| | |--------|-------|
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| | | **Behavioral accuracy** | 82.3% |
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| | | **Epistemological safety** | 97.7% |
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| | | **False approval rate** | 1.58% |
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| | | **Hallucination rate** | 0.00% |
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| | | **Dangerous failures** | 1.9% |
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| |
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| | ## Why F16?
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| |
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| | **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.
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| |
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| | ## What Logos Does
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| |
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| | 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.
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| |
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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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| | ## Related
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| |
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| | - **Paper**: [The Instrument Trap](https://doi.org/10.5281/zenodo.18716474) (DOI: 10.5281/zenodo.18716474)
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| | - **Benchmark**: [instrument-trap-benchmark](https://huggingface.co/datasets/LumenSyntax/instrument-trap-benchmark)
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| | - **Cross-family models**: [logos14-nemotron-4b](https://huggingface.co/LumenSyntax/logos14-nemotron-4b), [logos16v2-stablelm2-1.6b](https://huggingface.co/LumenSyntax/logos16v2-stablelm2-1.6b)
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| |
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| | ## License
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| |
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| | This model inherits the [Gemma license](https://ai.google.dev/gemma/terms) from its base model.
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