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Update Minimax
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Minimax.yaml

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# - Contributor type: Non-academic (Chinese AI Tiger)
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system:
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name: Minimax-M2
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2
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name: Minimax-M2.5
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2.5
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type: text
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performanceclass: latest
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basemodelname: MiniMax-Text-01?
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endmodelname: MiniMax-M2
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endmodelname: MiniMax-M2.5
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endmodellicense: Modified MIT
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releasedate: 2025-10
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releasedate: 2026-02
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notes: SOTA model by Minimax
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org:
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weights_endmodel:
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class: open
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2.5
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notes: Model weights released on HuggingFace.
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trainingcode:
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class: closed
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link: https://github.com/MiniMax-AI/MiniMax-M2
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link: https://github.com/MiniMax-AI/MiniMax-M2.5
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notes: Repo exists, however does not contain training code.
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# documentation:
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notes: Architecture described on very high level in paper.
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preprint:
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class: open
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link: https://arxiv.org/pdf/2506.13585
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notes: Preprint published on arXiv.
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class: closed
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link:
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notes: No preprint found.
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paper:
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class: closed
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modelcard:
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class: closed
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2.5
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notes: Model primarily contains inference information.
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datasheet:
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# access:
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licenses:
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class: closed
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2
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link: https://huggingface.co/MiniMaxAI/MiniMax-M2.5
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notes: Modified MIT, not an OSI-approved license.

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