🧠 OpenModel

• Organization: NeXTHub
• Model Type: Mixture-of-Experts (MoE) Large Language Model
• Context Length: 128K tokens
• Architecture: Evo-CoT MoE Transformer (Evolutionary Chain-of-Thought)

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🔍 Overview

OpenModel represents a major leap in NeXTHub’s pursuit of scalable, efficient, and deeply reasoning general-purpose AI. The model blends trillion-scale architecture with a Mixture-of-Experts (MoE) system.

At its core, OpenModel leverages an Evolutionary Chain-of-Thought (Evo-CoT) process across mid-training and post-training phases, allowing reasoning patterns to “evolve” across checkpoints rather than merely optimize static objectives. This enables emergent meta-reasoning, recursive planning, and adaptive self-correction — a new standard in interpretability and coherence.

🧭 Citation

If you use OpenModel-1T in your research or products, please cite:

@misc{thenexthub-openmodel-1t-a50b,
  title={OpenModel-1T-A50B-Instruct: Open Source, Trillion-Scale MoE Model with Evolutionary Chain-of-Thought},
  author={NeXTHub},
  year={2025},
  howpublished={\url{https://huggingface.co/thenexthub/OpenModel-1T-A50B-Instruct}},
}