Sovereign-Lila-E8

Scaling is dead. Geometry is the new Scale

2 followers

Scaling is dead. Geometry is the new Scale

2 followers

Geometric Attention Transformer with the E8 Root System: Lila-E8 (Lie Lattice Attention Language Model) - The Geometry of Scale: Standard transformers scale by adding more 'Euclidean soup' (more parameters). LILA-E8 scales by increasing the packing density of the manifold. If the 8D version crunches 40M parameters into SOTA performance. 🚀 Results at 200k steps: - Model: 40M parameters. - Performance: 0.37 Train / 0.44 Val Loss - Stability:1000+ tokens without semantic loops.

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Launch tags:Artificial Intelligence•GitHub

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LenzIndependent, multi-model fact-checking API for AI workflows

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https://www.reddit.com/r/LocalLLM/comments/1rf4p2l/comment/o7hp3mj/

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6mo ago

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p/sovereign-lila-e8

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6mo ago

The philosophy of the project in one image:

The Innovation:
Most transformers suffer from "semantic friction" in standard attention. I replaced the attention mechanism with a native E8 Root System Lattice. By leveraging the densest sphere packing in 8D, LILA-E8 achieves a state of "Geometric Resonance" that standard architectures simply cannot reach at this scale.

p/sovereign-lila-e8

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6mo ago

The Master Projection Framework is now live.

For those who requested the math: The Master Projection Framework is now live. Equation (2) is the physics; LILA-E8 is the neural implementation. Audit the Source. https://doi.org/10.5281/zenodo.1...

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