初始化项目，由ModelHub XC社区提供模型

Model: yingfanbot/gsm-cot-llama3b-nl
Source: Original Platform

README.md

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+---
+license: mit
+base_model: meta-llama/Llama-3.2-3B-Instruct
+library_name: transformers
+pipeline_tag: text-generation
+tags: [chain-of-thought, gsm8k, cot, sft]
+---
+
+# gsm-cot-llama3b-nl
+
+Natural-language chain-of-thought SFT checkpoint, fine-tuned from `meta-llama/Llama-3.2-3B-Instruct`
+on GSM8k-Aug with **natural-language** reasoning steps. From the paper
+[Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers](https://arxiv.org/abs/2606.31779).
+
+This is the **Stage-1 CoT initialization** for the natural-language LOTUS model
+([`yingfanbot/gsm-lotus-llama3b-nl`](https://huggingface.co/yingfanbot/gsm-lotus-llama3b-nl)).
+
+It is a standard causal LM — load with `from_pretrained` and generate the CoT directly (no wrapper needed).
+
+## Citation
+```bibtex
+@article{fan2026bridging,
+  title={Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers},
+  author={Fan, Ying and Svete, Anej and Lee, Kangwook},
+  journal={arXiv preprint arXiv:2606.31779},
+  year={2026}
+}
+```