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  language:
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  - en
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  - zh
 
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  license: mit
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  pipeline_tag: text-generation
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  tags:
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  ## Model Description
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- This is a reproduced version of rStar2-Agent, a 14B parameter math reasoning model that achieves performance comparable to 67B DeepSeek-R1 through pure agentic reinforcement learning. The model excels at planning, reasoning, and autonomously using coding tools to efficiently explore, verify, and reflect for complex problem-solving.
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  ## Usage
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  language:
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  - en
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  - zh
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+ - tr
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  license: mit
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  pipeline_tag: text-generation
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  tags:
 
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  ## Model Description
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+ This is a reproduced version of rStar2-Agent, a 14B parameter math reasoning model that achieves performance comparable to 671B DeepSeek-R1 through pure agentic reinforcement learning. The model excels at planning, reasoning, and autonomously using coding tools to efficiently explore, verify, and reflect for complex problem-solving.
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  ## Usage
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