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 5, 02:15 UTC
[Misc] Add @sfeng33 to CODEOWNERS (#40048)
Signed-off-by: sfeng33 <4florafeng@gmail.com>
Flora Feng committed
Apr 16, 2026 at 15:25 UTC
b16fda62b70af82d11f6637810f40f79ff713a82
2 files changed
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.github/CODEOWNERS
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@@ -44,8 +44,9 @@ CMakeLists.txt @tlrmchlsmth @LucasWilkinson
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/vllm/pooling_params.py @noooop @DarkLight1337
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/vllm/tokenizers @DarkLight1337 @njhill
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/vllm/renderers @DarkLight1337 @njhill
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-/vllm/reasoning @aarnphm @chaunceyjiang
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-/vllm/tool_parsers @aarnphm @chaunceyjiang
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+/vllm/reasoning @aarnphm @chaunceyjiang @sfeng33
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+/vllm/tool_parsers @aarnphm @chaunceyjiang @sfeng33
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+/vllm/parser @aarnphm @chaunceyjiang @sfeng33
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# vLLM V1
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/vllm/v1/attention @LucasWilkinson @MatthewBonanni
@@ -91,7 +92,10 @@ CMakeLists.txt @tlrmchlsmth @LucasWilkinson
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/tests/v1/kv_connector/nixl_integration @NickLucche
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/tests/v1/kv_connector @ApostaC @orozery
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/tests/v1/kv_offload @ApostaC @orozery
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-/tests/v1/determinism @yewentao256
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+/tests/v1/determinism @yewentao256
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+/tests/reasoning @aarnphm @chaunceyjiang @sfeng33
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+/tests/tool_parsers @aarnphm @chaunceyjiang @sfeng33
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+/tests/tool_use @aarnphm @chaunceyjiang @sfeng33
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# Transformers modeling backend
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/vllm/model_executor/models/transformers @hmellor
docs/governance/committers.md
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@@ -41,6 +41,7 @@ Sorted alphabetically by GitHub handle:
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- [@robertgshaw2-redhat](https://github.com/robertgshaw2-redhat): Core, distributed, disagg
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- [@ruisearch42](https://github.com/ruisearch42): Pipeline parallelism, Ray Support
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- [@russellb](https://github.com/russellb): Structured output, engine core, security
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+- [@sfeng33](https://github.com/sfeng33): Tool use and reasoning parser
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- [@sighingnow](https://github.com/sighingnow): Qwen models, new model support
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- [@simon-mo](https://github.com/simon-mo): Project lead, API entrypoints, community
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- [@tdoublep](https://github.com/tdoublep): State space models
@@ -119,7 +120,7 @@ If you have PRs touching the area, please feel free to ping the area owner for r
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- State space models: The state space models implementation in vLLM
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- @tdoublep, @tlrmchlsmth
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- Reasoning and tool calling parsers
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- - @chaunceyjiang, @aarnphm
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+ - @chaunceyjiang, @aarnphm, @sfeng33
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### Entrypoints
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