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title AETHORIA-AI
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AETHORIA-AI

Complexity Framework is a PyTorch research stack for deterministic Token-Routed Mixture-of-Experts language models.

Main architecture families

  • TR-GQA: grouped-query attention + TR-MoE.
  • TR-MHA: multi-head attention + TR-MoE.
  • TR-MoE: a dense shared SwiGLU path plus deterministic token-selected experts.

Token identity selects expert parameters. The selected experts still transform the current contextual hidden state.

Research standards

Projects distinguish implementation, pilots, controlled comparisons, and planned runs. Model cards should report:

  • total and active parameters;
  • tokenizer and context length;
  • data and token budget;
  • seeds;
  • evaluation split;
  • hardware and runtime;
  • license and intended use;
  • known limitations.

Repository

https://github.com/Complexity-ML/complexity-framework

Hugging Face organization

https://huggingface.co/AETHORIA-AI

License

The framework repository uses CC BY-NC 4.0. Individual model repositories must state their own license explicitly.