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@qandrew qandrew commented Nov 4, 2025

Added instructions for running the model with the minimax_m2 reasoning parser in responsesAPI.

Added instructions for running the model with the minimax_m2 reasoning parser in responsesAPI.

Signed-off-by: Andrew Xia <[email protected]>
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Summary of Changes

Hello @qandrew, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the MiniMax-M2.md documentation by incorporating specific command-line instructions. These new instructions guide users on how to execute the MiniMax-M2 model with the minimax_m2 reasoning parser, enabling native thinking capabilities through responsesAPI.

Highlights

  • New Run Instructions: Added detailed instructions for running the MiniMax-M2 model using the minimax_m2 reasoning parser within responsesAPI.
  • ResponsesAPI Integration: Provided a vllm serve command snippet demonstrating how to enable native thinking support via tool-call-parser and reasoning-parser.
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Code Review

This pull request updates the MiniMax-M2.md documentation to include instructions for running the model with the minimax_m2 reasoning parser. The change is clear and adds valuable information for users. I've pointed out a minor formatting issue in the new code block to improve clarity and prevent potential errors.

vllm serve MiniMaxAI/MiniMax-M2 \
--tensor-parallel-size 4 \
--tool-call-parser minimax_m2 \
--reasoning-parser minimax_m2 \
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medium

There is a trailing whitespace at the end of this line. It should be removed to avoid confusion and potential copy-paste errors.

Suggested change
--reasoning-parser minimax_m2 \
--reasoning-parser minimax_m2 \

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