---
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)