CuzImSlymi/Apertis-LLM

Apertis LLM. Clean. Fast. Built Different. Custom LLM architecture designed to be dead simple, insanely efficient, and easy to run—even without monster GPUs. Powered by Selective Linear Attention, Adaptive Experts, and a Unified Multimodal Core. No BS, just raw performance you can actually use.

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Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 0 / 25

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Stars

16

Forks

—

Language

Python

License

MIT

Category

llm-inference-serving

Last pushed

Aug 16, 2025

Commits (30d)

0

GitHub
LLM Inference Serving · 72 tools

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