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feat: add MiniMax-M2.5 model support#443

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octo-patch wants to merge 1 commit intoGradientHQ:mainfrom
octo-patch:feature/add-minimax-m25-model
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feat: add MiniMax-M2.5 model support#443
octo-patch wants to merge 1 commit intoGradientHQ:mainfrom
octo-patch:feature/add-minimax-m25-model

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Summary

Add MiniMax-M2.5 to the supported models list. M2.5 is the latest open-weight model in the MiniMax-M2 family:

  • 456B total / 46B active parameters (sparse MoE)
  • 1M token context window
  • Same MiniMaxM2ForCausalLM architecture as M2 and M2.1

Changes

  • Add MiniMaxAI/MiniMax-M2.5mlx-community/MiniMax-M2.5-4bit entry to the MODELS dict in static_config.py
  • Update README model table to include M2.5 as the latest in the MiniMax family

Why no code changes needed

M2.5 shares the same architecture (MiniMaxM2ForCausalLM) as M2 and M2.1, so the existing model code (src/parallax/models/minimax.py) and sglang monkey patches (minimax_m2_model.py) work without modification.

Test plan

  • Verified M2.5 uses MiniMaxM2ForCausalLM architecture (same as M2/M2.1)
  • Confirmed mlx-community/MiniMax-M2.5-4bit exists on HuggingFace
  • Python syntax check passes on modified file
  • Model loads and serves correctly with Parallax (requires hardware)

Add MiniMax-M2.5, the latest open-weight model in the MiniMax-M2 family
(456B total / 46B active parameters, 1M token context), to the supported
models list. M2.5 uses the same MiniMaxM2ForCausalLM architecture as M2
and M2.1, so no model code changes are needed.

Changes:
- Add MiniMaxAI/MiniMax-M2.5 -> mlx-community/MiniMax-M2.5-4bit in MODELS
- Update README model table to list M2.5 as the latest in the family
@octo-patch octo-patch requested a review from a team March 26, 2026 09:44
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