HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.
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Updated
Jun 17, 2026 - Python
HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.
Implementation of the Hierarchical Reasoning Model (HRM), applied to a pathfinding task, plus performance study.
Official PyTorch implementation of "Latent Reasoning in TRMs is Secretly a Policy Improvement Operator" (ICML 2026)
HRM-sMoE LLM training toolkit.
A laptop version of Hierarchical Reasoning Model
Just testing if HRM Generalizes better compared to others in Vision Task
Mathematical resolution to the Sapient AI HRM scaling wall (Issue #80). Open-sourcing Poincaré Deep Equilibrium (P-DEQ) and Grid-Cell Topological Anchoring to solve ZOH/Dirac Delta gradient shatter.
Implementation of the Hierarchical Reasoning Model (HRM), based on the research paper “Hierarchical Reasoning Model” (2025) by Guan Wang, Jin Li, Yuhao Sun, Xing Chen, Changling Liu, Yue Wu, Meng Lu, Sen Song, and Yasin Abbasi Yadkori (arXiv:2506.21734).
HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.
HRM models made easy.
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