Improve model card and add metadata (#1)
Browse files- Improve model card and add metadata (f97f92064a2b46ae22536eb9c44bec0c7b3447e0)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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license: mit
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license: mit
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pipeline_tag: text-generation
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---
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# Solve the Loop: Attractor Models for Language and Reasoning
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This repository contains the 770M parameter Attractor Model introduced in [Solve the Loop: Attractor Models for Language and Reasoning](https://huggingface.co/papers/2605.12466).
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Attractor Models offer a promising alternative to purely feed-forward computation by iteratively refining latent representations. In this architecture, a backbone module first proposes output embeddings, then an attractor module refines them by solving for the fixed point using implicit differentiation. This model delivers a Pareto improvement over standard Transformers in language modeling and demonstrates strong performance on reasoning tasks.
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- **Paper:** [Solve the Loop: Attractor Models for Language and Reasoning](https://huggingface.co/papers/2605.12466)
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- **Project Page:** [attractor-models.github.io](https://attractor-models.github.io/)
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- **Repository:** [jacobfa/Attractor](https://github.com/jacobfa/Attractor)
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## Usage
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To use this model, you need to install the official package from the [GitHub repository](https://github.com/jacobfa/Attractor).
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```python
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from attractor.models.attractor import Attractor, AttractorConfig
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# Construct the configuration for the 770m model
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config = AttractorConfig.from_name("attractor-large-770m")
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model = config.construct_model()
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```
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## Citation
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```bibtex
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@article{feinashley2026attractor,
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title={Solve the Loop: Attractor Models for Language and Reasoning},
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author={Fein-Ashley, Jacob and Rashidinejad, Paria},
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year={2026},
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url={https://arxiv.org/abs/2605.12466}
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}
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```
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