A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 14, 05:30 UTC
Add @22quinn as code reviewer for RL related components (#24346)
22quinn committed
Sep 5, 2025 at 18:56 UTC
35efa7029702f47a427bd78407647e2b05929bbb
1 file changed
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.github/CODEOWNERS
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@@ -5,13 +5,15 @@
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/vllm/attention/backends/abstract.py @WoosukKwon @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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/vllm/core @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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/vllm/engine/llm_engine.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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-/vllm/executor/executor_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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-/vllm/worker/worker_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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+/vllm/executor/executor_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill @22quinn
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+/vllm/worker/worker_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill @22quinn
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/vllm/worker/worker.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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/vllm/model_executor/layers/sampler.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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/vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256
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/vllm/model_executor/layers/mamba @tdoublep
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+/vllm/model_executor/model_loader @22quinn
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/vllm/multimodal @DarkLight1337 @ywang96
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+/vllm/v1/sample @22quinn @houseroad
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/vllm/vllm_flash_attn @LucasWilkinson
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/vllm/lora @jeejeelee
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/vllm/reasoning @aarnphm
@@ -85,4 +87,3 @@ mkdocs.yaml @hmellor
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/vllm/v1/attention/backends/mla/rocm*.py @gshtras
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/vllm/attention/ops/rocm*.py @gshtras
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/vllm/model_executor/layers/fused_moe/rocm*.py @gshtras
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