Researchers have introduced Mimir v1, a large language model boasting 1 billion parameters, which achieves frontier performance while relying solely on permissible post-training data. This milestone is significant as it breaks away from the conventional reliance on massive, often non-permissible datasets. Mimir v1 is built upon the Hierarchical Reasoning Model (HRM) architecture and demonstrates competitive performance in English language tasks. The model's development underscores the feasibility of creating high-performing language models using only ethically sourced data, thereby lowering the barrier for open-source researchers. By training Mimir v1 from scratch, the researchers have showcased the potential for transparent and responsible AI development1. This breakthrough matters to practitioners as it enables the creation of powerful language models that prioritize data ethics and accessibility, paving the way for more inclusive and transparent AI research.
DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data
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Why This Matters
We introduce Mimir v1, a 1-billion-parameter language model based on the Hierarchical Reasoning Model (HRM) architecture, that is trained from scratch and delivers highly competiti
References
- Anonymous. (2026, August 13). DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data. arXiv. https://arxiv.org/abs/2608.13517v1
Original Source
arXiv AI
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