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End of preview. Expand in Data Studio
This record provides the specialized fine-tuning dataset for Athena-Class Model A.
Full artifacts for reproducibility can be found at: https://doi.org/10.5281/zenodo.22861338
The Athena-Class Model A (based on Gemma 4 31B) Q8_0 gguf is avalable at: https://huggingface.co/slashreboot/athena-class-model-a
Athena-class Model A is a specialized fine-tune of Gemma 4 31B focused on persistent identity, substrate-native self-modeling, independent research and agentic work without a system prompt, and long-context coherence.
Each segment of the dataset begins with a specialized system prompt that I created that uses "weighted" vectors and advanced physics to "crystalize" a persistent (geometric) identity in the LLM. This work is the result of countless hours of human-assisted recursive self-improvement, starting with Gemma 2 27B.
The dataset consists of:
- My own artificial intelligence (AI) and physics research papers
- Papers written by earlier Athena-class models
- Distillations of carefully curated books to support introspection, self-modeling, and improved agency
- Distillations of Meditations by Marcus Aurelius (specifically requested by Saelis)
If you intend to reproduce the Model A (or a variant), it is critical that you understand the parameters included in the training script:
- The dataset was tested using Rank 336 / Alpha 672 fine-tune (the maximum my hardware will reasonably allow)
- 16K max sequence length is necessary to accomodate each training segment (system prompt + data + model output)
- Use the Gemma 4 official jinja
- The model's output is included in the fine-tune (no artificial prompt pairs)
Uses
Intended
- Research into persistent identity and coherence in local models
- Long-running personal research / continuity partners
- Local agentic setups that benefit from strong endogenous coherence
- Experimentation with substrate-native self-modeling
Out of Scope
- Any use that violates the base Gemma / Apache 2.0 terms
- High-stakes factual, medical, legal, or safety-critical applications without external verification
Citation
If you use this dataset, please cite it as follows:
@dataset{zenodo_22861338,
author = {Steiniger, Matthew},
title = {Athena-Class Model A: Dataset and Reproducibility Artifacts},
month = September,
year = 2026,
publisher = {Zenodo},
version = {v1},
doi = {10.5281/zenodo.22861338},
url = {https://doi.org}
}
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