Hierarchical Reasoning Model

What it does

A revolutionary 27M-parameter AI model that performs complex sequential reasoning in a single forward pass. Featuring dual recurrent modules for high level planning and sharp detail, it outperforms larger models on puzzles and maze challenges.

Hierarchical Reasoning Model Official Release. Contribute to sapientinc/HRM development by creating an account on GitHub.

Reasoning, the process of devising and executing complex goal-oriented action sequences, remains a critical challenge in AI. Current large language models (LLMs) primarily employ Chain-of-Thought (CoT) techniques, which suffer from brittle task decomposition, extensive data requirements, and high latency. Inspired by the hierarchical and multi-timescale processing in the human brain, we propose the Hierarchical Reasoning Model (HRM), a novel recurrent architecture that attains significant computational depth while maintaining both training stability and efficiency. HRM executes sequential reasoning tasks in a single forward pass without explicit supervision of the intermediate process,…from github.com

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