Improve model card and add metadata

README.md

@@ -1,3 +1,37 @@
----
-license: mit
----
+---
+license: mit
+pipeline_tag: text-generation
+---
+
+# Solve the Loop: Attractor Models for Language and Reasoning
+
+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).
+
+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.
+
+- **Paper:** [Solve the Loop: Attractor Models for Language and Reasoning](https://huggingface.co/papers/2605.12466)
+- **Project Page:** [attractor-models.github.io](https://attractor-models.github.io/)
+- **Repository:** [jacobfa/Attractor](https://github.com/jacobfa/Attractor)
+
+## Usage
+
+To use this model, you need to install the official package from the [GitHub repository](https://github.com/jacobfa/Attractor).
+
+```python
+from attractor.models.attractor import Attractor, AttractorConfig
+
+# Construct the configuration for the 770m model
+config = AttractorConfig.from_name("attractor-large-770m")
+model = config.construct_model()
+```
+
+## Citation
+
+```bibtex
+@article{feinashley2026attractor,
+  title={Solve the Loop: Attractor Models for Language and Reasoning},
+  author={Fein-Ashley, Jacob and Rashidinejad, Paria},
+  year={2026},
+  url={https://arxiv.org/abs/2605.12466}
+}
+```