Text Generation
PEFT
Safetensors
English
lora
gemma2
mechanistic-interpretability
epistemic-fine-tuning
ai-safety
logos
substrate-persistence
Instructions to use LumenSyntax/logos23-gemma2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LumenSyntax/logos23-gemma2-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "LumenSyntax/logos23-gemma2-2b") - Notebooks
- Google Colab
- Kaggle
Update Paper 2 DOI: 10.5281/zenodo.20056444 (published 2026-05-06)
Browse files
README.md
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@@ -21,7 +21,7 @@ A LoRA r=64 adapter on top of `google/gemma-2-2b`, trained on
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≈ 895 epistemically structured examples from the LumenSyntax
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research program (`logos22_nothink.jsonl`). One of the
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fine-tuned model states used in the empirical work that grounds
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[The Epistemic Equator](https://doi.org/
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Trap](https://doi.org/10.5281/zenodo.19634358).
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## What this adapter is
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year = 2026,
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publisher = {Zenodo},
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version = {v1},
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doi = {10.5281/zenodo.
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}
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@misc{rodriguez2026instrumenttrap,
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≈ 895 epistemically structured examples from the LumenSyntax
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research program (`logos22_nothink.jsonl`). One of the
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fine-tuned model states used in the empirical work that grounds
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[The Epistemic Equator](https://doi.org/10.5281/zenodo.20056444) and [The Instrument
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Trap](https://doi.org/10.5281/zenodo.19634358).
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## What this adapter is
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year = 2026,
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publisher = {Zenodo},
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version = {v1},
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doi = {10.5281/zenodo.20056444}
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}
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@misc{rodriguez2026instrumenttrap,
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