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pipeline_tag: text-generation
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model-index:
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results: []
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license: apache-2.0
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language:
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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<img src="https://huggingface.co/AI-MO/
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# Model Card for NuminaMath 7B GPTQ
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NuminaMath is a series of language models that are trained to solve math problems using tool-integrated reasoning. NuminaMath 7B won the first progress prize of the [AI Math Olympiad (AIMO)](https://aimoprize.com), with a score of 29/50 on the public and private tests sets.
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This model is an 8-bit version of [`AI-MO/
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values of \\( k \\) is:\n\n\\[\n\\boxed{4}\n\\]\n
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pipeline_tag: text-generation
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model-index:
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- name: NuminaMath-7B-TIR-GPTQ
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results: []
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license: apache-2.0
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language:
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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<img src="https://huggingface.co/AI-MO/NuminaMath-7B-TIR/resolve/main/thumbnail.png" alt="Numina Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# Model Card for NuminaMath 7B TIR GPTQ
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NuminaMath is a series of language models that are trained to solve math problems using tool-integrated reasoning (TIR). NuminaMath 7B TIR won the first progress prize of the [AI Math Olympiad (AIMO)](https://aimoprize.com), with a score of 29/50 on the public and private tests sets.
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This model is an 8-bit version of [`AI-MO/NuminaMath-7B-TIR`](https://huggingface.co/AI-MO/NuminaMath-7B-TIR), which we quantized with [AutoGPTQ](https://github.com/AutoGPTQ/AutoGPTQ) to run fast inference in the Kaggle submissions. Please consult the original model card for more details.
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