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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 @luccafong to codeowner for spec decode (#24397)

Signed-off-by: Lu Fang <fanglu@fb.com>

Lucia Fang committed Sep 7, 2025 at 17:30 UTC 795b6951cd6a18c2d78bcb1d188f112357d19262
1 file changed +4 -1
.github/CODEOWNERS
+4 -1
@@ -28,7 +28,7 @@ CMakeLists.txt @tlrmchlsmth @LucasWilkinson
28 # vLLM V1
29 /vllm/v1 @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @comaniac @alexm-redhat
30 /vllm/v1/structured_output @mgoin @russellb @aarnphm @benchislett
31 -/vllm/v1/spec_decode @benchislett
31 +/vllm/v1/spec_decode @benchislett @luccafong
32 /vllm/v1/attention/backends/triton_attn.py @tdoublep
33
34 # Test ownership
@@ -70,6 +70,9 @@ mkdocs.yaml @hmellor
70 /vllm/attention/backends/dual_chunk_flash_attn.py @sighingnow
71 /vllm/model_executor/models/qwen* @sighingnow
72
73 +# MTP-specific files
74 +/vllm/model_executor/models/deepseek_mtp.py @luccafong
75 +
76 # Mistral-specific files
77 /vllm/model_executor/models/mistral*.py @patrickvonplaten
78 /vllm/model_executor/models/mixtral*.py @patrickvonplaten