Update README.md

README.md

@@ -8,4 +8,29 @@ base_model:
 - Qwen/Qwen2.5-32B-Instruct
 pipeline_tag: text-generation
 library_name: transformers
----
+---
+
+# Model Summary
+
+> Multiverse-32B, built on [Multiverse](https://multiverse4fm.github.io/), is the first open-source, non-AR model to achieve scores of 54% and 46% on AIME 2024 & 2025.
+
+- **Webpage:** [Multiverse](https://multiverse4fm.github.io/)
+- **Paper:** [https://arxiv.org/abs/2506.09991](https://arxiv.org/abs/2506.09991)
+# Use
+
+The model usage is documented [here](https://github.com/Multiverse4FM/Multiverse).
+
+# Evaluation
+
+| Model | AIME24 | AIME25 | MATH500 | GPQA-Diamond |
+| :--- | :---: | :---: | :---: | :---: |
+| s1-32B | 35.4 | 25.8 | 88.6 | 48.0 |
+| s1.1-32B | 52.9 | 41.7 | 93.4 | 62.6 |
+| Qwen2.5-32B-Instruct | 15.8 | 10.4 | 80.4 | 47.0 |
+| Autoregressive-32B | **54.6** | <u>45.0</u> | **92.8** | <u>61.6</u> |
+| **Multiverse-32B-zero** | 52.1 | 44.2 | <u>92.4</u> | **63.6** |
+| **Multiverse-32B** | 53.8 | **45.8** | 91.8 | 60.7 |
+
+# Acknowledge
+
+Thanks to the amazing s1 team for their s1.1 dataset as base data, and the Qwen team for their Qwen-2.5-32B-Instruct as base model.