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docs(moonshotai): remove --compilation_config.pass_config.fuse_allreduce_rms from Kimi-K2.5 recipe #325

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docs(moonshotai): remove --compilation_config.pass_config.fuse_allreduce_rms from Kimi-K2.5 recipe #325

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3 changes: 0 additions & 3 deletions moonshotai/Kimi-K2.5.md
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Expand Up @@ -21,7 +21,6 @@ docker run --gpus all \
vllm/vllm-openai:v0.17.0-cu130 moonshotai/Kimi-K2.5 \
--tensor-parallel-size 8 \
--mm-encoder-tp-mode data \
--compilation_config.pass_config.fuse_allreduce_rms true \
--tool-call-parser kimi_k2 \
--reasoning-parser kimi_k2 \
--enable-auto-tool-choice \
Expand All @@ -39,7 +38,6 @@ docker run --gpus all \
vllm/vllm-openai:v0.17.0-aarch64-cu130 moonshotai/Kimi-K2.5 \
--tensor-parallel-size 4 \
--mm-encoder-tp-mode data \
--compilation_config.pass_config.fuse_allreduce_rms true \
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medium

The justification for removing this flag is that it's enabled by default on Hopper hardware. This change, however, is for a Blackwell (aarch64) example. Since Blackwell is a different architecture, this optimization might not be enabled by default. To ensure optimal performance on Blackwell, it might be better to retain this flag unless it's confirmed to be default on Blackwell as well.

--tool-call-parser kimi_k2 \
--reasoning-parser kimi_k2 \
--enable-auto-tool-choice \
Expand All @@ -59,7 +57,6 @@ See the following command to deploy Kimi-K2.5 with the vLLM inference server. Th
```bash
vllm serve moonshotai/Kimi-K2.5 -tp 8 \
--mm-encoder-tp-mode data \
--compilation_config.pass_config.fuse_allreduce_rms true \
--tool-call-parser kimi_k2 \
--reasoning-parser kimi_k2 \
--enable-auto-tool-choice \
Expand Down