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Kimi-K3: add mla_prefill_backend TRTLLM_RAGGED to attention-config - #718

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Kimi-K3: add mla_prefill_backend TRTLLM_RAGGED to attention-config#718
kylesayrs wants to merge 1 commit into
vllm-project:mainfrom
kylesayrs:kimi-k3-mla-prefill-backend

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@kylesayrs

@kylesayrs kylesayrs commented Jul 31, 2026

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Summary

  • Adds "mla_prefill_backend":"TRTLLM_RAGGED" to the Blackwell --attention-config alongside the existing use_prefill_query_quantization:true
  • Updates the guide FP8 KV note to reflect the full config string

Ref: vllm-project/vllm#50056

Test plan

  • Verify Blackwell --attention-config output includes both use_prefill_query_quantization and mla_prefill_backend in the command builder

🤖 Generated with Claude Code

Add `"mla_prefill_backend":"TRTLLM_RAGGED"` to the Blackwell
`--attention-config` alongside the existing `use_prefill_query_quantization`.
Also update the guide note to reflect the full config.

Ref: vllm-project/vllm#50056

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
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Code Review

This pull request updates the Kimi-K3.yaml configuration file for the Moonshot AI model by adding the mla_prefill_backend parameter set to TRTLLM_RAGGED within the --attention-config argument in both the hardware overrides and the guide documentation. There are no review comments, and I have no feedback to provide.

@kylesayrs

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Just noticing https://github.com/vllm-project/vllm/pull/50181/changes. This PR can be closed once the fix lands on vLLM

@yiminghub2024

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yes, you are right ,this bug alreay fix by my pr #689 , but it was error merge by this pr #701 ,i have metion him , haha . @kylesayrs

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