Skip to content
#

lattice-quantization

Here are 4 public repositories matching this topic...

Language: All
Filter by language

Discrete Kakeya cover for LLM KV cache: D4/E8 nested-lattice quantisation realising a Kakeya-style tube-cover over the direction sphere. 2.4x-2.8x compression at <1% perplexity loss on Qwen3, Llama-3, DeepSeek, GLM-4, Gemma. Drop-in transformers.DynamicCache. pip install kakeyalattice.

  • Updated Apr 27, 2026
  • Python

BIHE Protocol - Next-generation vector quantization combining E8 lattice geometry with Lloyd algorithm optimization. Achieves 16× compression ratio while maintaining 88.5% recall on real-world datasets. Validated on Stanford SQuAD v2.0 (5,000 texts) and Microsoft MS MARCO (6,000 texts). Features NSM below Shannon theoretical limits.

  • Updated Oct 27, 2025
  • Python

Loop Quantum Gravity midisuperspace quantization for warp drive spacetimes with constraint implementation, coherent states, lattice refinement, exotic matter quantization, and GPU acceleration

  • Updated Jul 21, 2025
  • Python

Improve this page

Add a description, image, and links to the lattice-quantization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the lattice-quantization topic, visit your repo's landing page and select "manage topics."

Learn more