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feat: support MiniMax-M2.7 Channel FP8 w8a8 on DCU.#2002

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WenQ7:feat/dcu-minimax-m2-support
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feat: support MiniMax-M2.7 Channel FP8 w8a8 on DCU.#2002
WenQ7 wants to merge 1 commit into
xLLM-AI:mainfrom
WenQ7:feat/dcu-minimax-m2-support

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@WenQ7 WenQ7 commented Jul 22, 2026

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Description

This PR adds MiniMax-M2 model registration, decoder/attention layers, tensor-parallel q/k RMSNorm, partial RoPE support, and DCU FP8 MoE execution with AITER kernels.

It enables MiniMax-M2.7-Channel-FP8-w8a8 to load and run on DCU with expert parallel MoE.

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Change Type

  • Bug fix
  • New feature
  • Performance improvement
  • Refactor
  • Documentation
  • Test
  • Build or CI

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@WenQ7 WenQ7 changed the title feat: support MiniMax-M2.7 Channel FP8 w8a8 on DCU feat: support MiniMax-M2.7 Channel FP8 w8a8 on DCU. Jul 22, 2026
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