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Model: XueZhang-bjtu/M-Thinker-7B-Iter2
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+- zh
+- es
+- ar
+- vi
+- ja
+- ko
+- fr
+- pt
+- th
+tags:
+- O1-like model
+- Math
+pipeline_tag: text-generation
+---
+
+
+This repository contains the resources for our **paper** [Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning](https://arxiv.org/pdf/2510.07300)
+
+Large Reasoning Models (LRMs) have achieved remarkable performance on complex reasoning tasks by adopting the "think-then-answer" paradigm, which enhances both accuracy and interpretability. However, current LRMs exhibit two critical limitations when processing non-English languages: (1) They often struggle to maintain input-output language consistency; (2) They generally perform poorly with wrong reasoning paths and lower answer accuracy compared to English. These limitations significantly degrade the user experience for non-English speakers and hinder the global deployment of LRMs. To address these limitations, we propose M-Thinker, which is trained by the GRPO algorithm that involves a **Language Consistency (LC) reward** and a novel **Cross-lingual Thinking Alignment (CTA) reward**. Specifically, the LC reward defines a strict constraint on the language consistency between the input, thought, and answer. Besides, the CTA reward compares the model's non-English reasoning paths with its English reasoning path to transfer its own reasoning capability from English to non-English languages. Through an iterative RL procedure, our M-Thinker-1.5B/7B models not only achieve nearly 100% language consistency and superior performance on two multilingual benchmarks (MMATH and PolyMath), but also exhibit excellent generalization on out-of-domain languages.
+
+
+
+
+| Model Access | Backbone | Training data Access | 
+| :-- | :-- | :-- |
+ <a href="https://huggingface.co/XueZhang-bjtu/M-Thinker-7B-Iter2">M-Thinker-7B-Iter2</a> (👍👍) &emsp;  |   <a href="https://huggingface.co/XueZhang-bjtu/M-Thinker-7B-Iter1">M-Thinker-7B-Iter1</a> |    [M-Thinker-7B-RL-Iter2-data](https://huggingface.co/datasets/XueZhang-bjtu/M-Thinker-7B-RL-Iter2-data) 
+ <a href="https://huggingface.co/XueZhang-bjtu/M-Thinker-7B-Iter1">M-Thinker-7B-Iter1</a> (👍) |    [7B-cold-start-SFT](https://huggingface.co/XueZhang-bjtu/7B-cold-start-SFT) |    [M-Thinker-7B-RL-Iter1-data](https://huggingface.co/datasets/XueZhang-bjtu/M-Thinker-7B-RL-Iter1-data) 
+  [7B-cold-start-SFT](https://huggingface.co/XueZhang-bjtu/7B-cold-start-SFT) |  [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) &emsp; |  [M-Thinker-SFT-data](https://huggingface.co/datasets/XueZhang-bjtu/M-Thinker-SFT-data)
+ <a href="https://huggingface.co/XueZhang-bjtu/M-Thinker-1.5B-Iter2">M-Thinker-1.5B-Iter2</a> (👍👍) |   <a href="https://huggingface.co/XueZhang-bjtu/M-Thinker-1.5B-Iter1">M-Thinker-1.5B-Iter1</a> |    [M-Thinker-1.5B-RL-Iter2-data](https://huggingface.co/datasets/XueZhang-bjtu/M-Thinker-1.5B-RL-Iter2-data) 
+ <a href="https://huggingface.co/XueZhang-bjtu/M-Thinker-1.5B-Iter1">M-Thinker-1.5B-Iter1</a> (👍) |    [1.5B-cold-start-SFT](https://huggingface.co/XueZhang-bjtu/1.5B-cold-start-SFT) |    [M-Thinker-1.5B-RL-Iter1-data](https://huggingface.co/datasets/XueZhang-bjtu/M-Thinker-1.5B-RL-Iter1-data) 
+  [1.5B-cold-start-SFT](https://huggingface.co/XueZhang-bjtu/1.5B-cold-start-SFT) |  [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) |  [M-Thinker-SFT-data](https://huggingface.co/datasets/XueZhang-bjtu/M-Thinker-SFT-data)
+
+
+
+If you find this work useful, please consider citing our paper:
+```
+@misc{zhang2025thinknativelyunlockingmultilingual,
+      title={Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning}, 
+      author={Xue Zhang and Yunlong Liang and Fandong Meng and Songming Zhang and Kaiyu Huang and Yufeng Chen and Jinan Xu and Jie Zhou},
+      year={2025},
+      eprint={2510.07300},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.07300}, 
+}
+```

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config.json

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+  ],
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+  "torch_dtype": "bfloat16",
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+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": 151643,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.53.0"
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special_tokens_map.json

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+{
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+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

tokenizer_config.json

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