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license: apache-2.0
tags:
- reasoning
- recursive
- arc-agi
- nvyra-x
---
# NRM: Nvyra Recursive Reasoning Model
**Developed by Nvyra X** — Fact-Checking and Disinformation Detection Service
## Model Description
NRM (Nvyra Recursive Reasoning Model) is a state-of-the-art reasoning architecture that combines:
- **Mixture of Recursions (MoR)** - Weight-tied transformer blocks applied recursively
- **Multi-Head Latent Attention (MLA)** - 10× KV cache reduction (DeepSeek-V3)
- **ConvSwiGLU** - Enhanced nonlinearity from URM paper
- **Aux-Loss-Free MoE** - Bias-based expert load balancing
- **PonderNet** - Adaptive computation time
- **Multi-Token Prediction** - 4-ahead planning
## Training
- **Budget**: $115 ($25 Nebius + $90 Modal)
- **Hardware**: H200 NVLink GPUs
- **Framework**: PyTorch 2.9.1, Flash Attention 3, CUDA 12.8
- **Dataset**: 300K+ reasoning examples (Sudoku, ARC, Logic, Object Tracking)
## Usage
```python
# This model uses a custom architecture - see repository for full code
from safetensors.torch import load_file
weights = load_file("model.safetensors")
```
## Citation
If you use this model, please cite:
```
@misc{nrm2025,
title={NRM: Nvyra Recursive Reasoning Model},
author={Nvyra X Research Team},
year={2025},
url={https://huggingface.co/Feargal/nvyra-x-reasoning}
}
```
## References
- [Universal Reasoning Model (URM)](https://arxiv.org/abs/2512.14693)
- [DeepSeek-V3](https://arxiv.org/abs/2401.02954)
- [PonderNet](https://arxiv.org/abs/2107.05407)
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