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Model: lkevinzc/Llama-3.2-3B-NuminaQA
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+datasets:
+- lkevinzc/numia-1.5-qa-concatenated
+base_model:
+- HuggingFaceTB/FineMath-Llama-3B
+---
+
+# Llama-3.2-3B-NuminaQA
+
+## Links
+
+- 📜 [Paper](https://github.com/sail-sg/understand-r1-zero/blob/main/understand-r1-zero.pdf)
+- 💻 [GitHub](https://github.com/sail-sg/understand-r1-zero)
+- 🤗 [Oat-Zero Collection](https://huggingface.co/collections/sail/oat-zero-understanding-r1-zero-like-training-67dcdb07b9f3eb05f1501c4a)
+
+## Introduction
+
+This model serves as a 3B base in our minimalist R1-Zero recipe. 
+
+Training details: 
+- Base model: [HuggingFaceTB/FineMath-Llama-3B](https://huggingface.co/HuggingFaceTB/FineMath-Llama-3B)
+- Dataset: [lkevinzc/numia-1.5-qa-concatenated](https://huggingface.co/datasets/lkevinzc/numia-1.5-qa-concatenated)
+- Epochs: 2
+- Learning rate: 1e-5
+
+
+## Citation
+
+```latex
+@article{liu2025understanding,
+  title={Understanding r1-zero-like training: A critical perspective},
+  author={Liu, Zichen and Chen, Changyu and Li, Wenjun and Qi, Penghui and Pang, Tianyu and Du, Chao and Lee, Wee Sun and Lin, Min},
+  journal={arXiv preprint arXiv:2503.20783},
+  year={2025}
+}
+```

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+  "vocab_size": 128256
+}

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