Add model card

README.md

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+---
+license: mit
+base_model: meta-llama/Llama-3.2-1B-Instruct
+language:
+  - en
+tags:
+  - latent-reasoning
+  - interpretability
+  - reasoning
+  - coconut
+  - prosqa
+---
+
+# Coconut · llama32-1b · ProsQA
+
+This is the **Coconut** checkpoint trained on **ProsQA** with base model
+[`meta-llama/Llama-3.2-1B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct), from the paper
+[*Are Latent Reasoning Models Easily Interpretable?*](https://arxiv.org/abs/2604.04902) (Dilgren & Wiegreffe, 2026).
+
+- 📄 **Paper:** https://arxiv.org/abs/2604.04902
+- 💻 **Code:** https://github.com/connordilgren/are-lrms-easily-interpretable
+- 📚 **Collection (all checkpoints):** https://huggingface.co/collections/connordilgren/are-latent-reasoning-models-easily-interpretable-6a46a3c39b0045c223b15a89
+
+## Files
+
+This repository contains a single raw PyTorch checkpoint, **`checkpoint_10`** — the state dict as
+saved by the training framework. It is not a `from_pretrained`-style model; it is loaded by
+the paper's evaluation code, which builds the base model and applies this checkpoint.
+
+## Usage
+
+The evaluation code in the [repository](https://github.com/connordilgren/are-lrms-easily-interpretable) loads this checkpoint from the local path
+configured in `model_paths.yaml`. Download it to the expected location with:
+
+```bash
+hf download connordilgren/llama32-1b-prosqa-coconut checkpoint_10 --local-dir checkpoints/llama32-1b_prosqa_coconut
+```
+
+This places the file at `checkpoints/llama32-1b_prosqa_coconut/checkpoint_10`, which is the path referenced for this model
+(`llama` → `prosqa` → `coconut`) in `model_paths.yaml`. See the
+repository README for full setup and evaluation instructions.
+
+## Citation
+
+```bibtex
+@misc{dilgren2026latentreasoningmodelseasily,
+      title={Are Latent Reasoning Models Easily Interpretable?},
+      author={Connor Dilgren and Sarah Wiegreffe},
+      year={2026},
+      eprint={2604.04902},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2604.04902},
+}
+```