HLM3 — Language Model

HLM3 is Qriton's language model built on polynomial Hopfield layers. Unlike transformer-based LLMs, HLM3 stores knowledge as discrete attractor basins that can be surgically edited.

Status

HLM3 is currently training at large scale. Join the waiting list for early access.

What Makes It Different

HLM3 stores knowledge as discrete attractor basins — not distributed weights like transformers. This means individual behaviors can be edited without retraining the entire model.

Energy Language Integration

HLM3 supports all 32 Energy Language operations, including the full concept pipeline: capture semantic meaning from text, inject it as a new attractor, blend concepts, and transplant between models.

Custom Training

For organizations needing HLM3 trained on proprietary data at scale, we offer commercial training support and pilot project engagements. Get in touch.